# frozen_string_literal: true module ::DiscourseAi module Inference class OpenAiCompletions TIMEOUT = 60 class Function attr_reader :name, :description, :parameters, :type def initialize(name:, description:, type: nil) @name = name @description = description @type = type || "object" @parameters = [] end def add_parameter(name:, type:, description:, enum: nil, required: false) @parameters << { name: name, type: type, description: description, enum: enum, required: required, } end def to_json(*args) as_json.to_json(*args) end def as_json required_params = [] properties = {} parameters.each do |parameter| definition = { type: parameter[:type], description: parameter[:description] } definition[:enum] = parameter[:enum] if parameter[:enum] required_params << parameter[:name] if parameter[:required] properties[parameter[:name]] = definition end params = { type: @type, properties: properties } params[:required] = required_params if required_params.present? { name: name, description: description, parameters: params } end end CompletionFailed = Class.new(StandardError) def self.perform!( messages, model, temperature: nil, top_p: nil, max_tokens: nil, functions: nil, user_id: nil ) url = if model.include?("gpt-4") URI(SiteSetting.ai_openai_gpt4_url) else URI(SiteSetting.ai_openai_gpt35_url) end headers = { "Content-Type" => "application/json" } if url.host.include? ("azure") headers["api-key"] = SiteSetting.ai_openai_api_key else headers["Authorization"] = "Bearer #{SiteSetting.ai_openai_api_key}" end payload = { model: model, messages: messages } payload[:temperature] = temperature if temperature payload[:top_p] = top_p if top_p payload[:max_tokens] = max_tokens if max_tokens payload[:functions] = functions if functions payload[:stream] = true if block_given? Net::HTTP.start( url.host, url.port, use_ssl: true, read_timeout: TIMEOUT, open_timeout: TIMEOUT, write_timeout: TIMEOUT, ) do |http| request = Net::HTTP::Post.new(url, headers) request_body = payload.to_json request.body = request_body http.request(request) do |response| if response.code.to_i != 200 Rails.logger.error( "OpenAiCompletions: status: #{response.code.to_i} - body: #{response.body}", ) raise CompletionFailed end log = AiApiAuditLog.create!( provider_id: AiApiAuditLog::Provider::OpenAI, raw_request_payload: request_body, user_id: user_id, ) if !block_given? response_body = response.read_body parsed_response = JSON.parse(response_body, symbolize_names: true) log.update!( raw_response_payload: response_body, request_tokens: parsed_response.dig(:usage, :prompt_tokens), response_tokens: parsed_response.dig(:usage, :completion_tokens), ) return parsed_response end begin cancelled = false cancel = lambda { cancelled = true } response_data = +"" response_raw = +"" leftover = "" response.read_body do |chunk| if cancelled http.finish return end response_raw << chunk (leftover + chunk) .split("\n") .each do |line| data = line.split("data: ", 2)[1] next if !data || data == "[DONE]" next if cancelled partial = nil begin partial = JSON.parse(data, symbolize_names: true) leftover = "" rescue JSON::ParserError leftover = line end if partial response_data << partial.dig(:choices, 0, :delta, :content).to_s response_data << partial.dig(:choices, 0, :delta, :function_call).to_s yield partial, cancel end end rescue IOError raise if !cancelled ensure log.update!( raw_response_payload: response_raw, request_tokens: DiscourseAi::Tokenizer::OpenAiTokenizer.size(extract_prompt(messages)), response_tokens: DiscourseAi::Tokenizer::OpenAiTokenizer.size(response_data), ) end end end end end def self.extract_prompt(messages) messages.map { |message| message[:content] || message["content"] || "" }.join("\n") end end end end