# frozen_string_literal: true module DiscourseAi module Completions module Endpoints class Vllm < Base def self.can_contact?(model_provider) model_provider == "vllm" end def normalize_model_params(model_params) model_params = model_params.dup # max_tokens, temperature are already supported if model_params[:stop_sequences] model_params[:stop] = model_params.delete(:stop_sequences) end model_params end def default_options { max_tokens: 2000, model: llm_model.name } end def provider_id AiApiAuditLog::Provider::Vllm end private def model_uri if llm_model.url.to_s.starts_with?("srv://") service = DiscourseAi::Utils::DnsSrv.lookup(llm_model.url.sub("srv://", "")) api_endpoint = "https://#{service.target}:#{service.port}/v1/chat/completions" else api_endpoint = llm_model.url end @uri ||= URI(api_endpoint) end def prepare_payload(prompt, model_params, dialect) payload = default_options.merge(model_params).merge(messages: prompt) payload[:stream] = true if @streaming_mode payload end def prepare_request(payload) headers = { "Referer" => Discourse.base_url, "Content-Type" => "application/json" } api_key = llm_model&.api_key || SiteSetting.ai_vllm_api_key headers["X-API-KEY"] = api_key if api_key.present? Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload } end def partials_from(decoded_chunk) decoded_chunk .split("\n") .map do |line| data = line.split("data: ", 2)[1] data == "[DONE]" ? nil : data end .compact end def extract_completion_from(response_raw) parsed = JSON.parse(response_raw, symbolize_names: true).dig(:choices, 0) # half a line sent here return if !parsed response_h = @streaming_mode ? parsed.dig(:delta) : parsed.dig(:message) response_h.dig(:content) end end end end end