discourse-ai/lib/completions/endpoints/open_ai.rb

93 lines
2.5 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module Completions
module Endpoints
class OpenAi < Base
def self.can_contact?(model_name)
%w[gpt-3.5-turbo gpt-4 gpt-3.5-turbo-16k gpt-4-32k].include?(model_name)
end
def default_options
{ model: model }
end
def provider_id
AiApiAuditLog::Provider::OpenAI
end
private
def model_uri
url =
if model.include?("gpt-4")
if model.include?("32k")
SiteSetting.ai_openai_gpt4_32k_url
else
SiteSetting.ai_openai_gpt4_url
end
else
if model.include?("16k")
SiteSetting.ai_openai_gpt35_16k_url
else
SiteSetting.ai_openai_gpt35_url
end
end
URI(url)
end
def prepare_payload(prompt, model_params)
default_options
.merge(model_params)
.merge(messages: prompt)
.tap { |payload| payload[:stream] = true if @streaming_mode }
end
def prepare_request(payload)
headers =
{ "Content-Type" => "application/json" }.tap do |h|
if model_uri.host.include?("azure")
h["api-key"] = SiteSetting.ai_openai_api_key
else
h["Authorization"] = "Bearer #{SiteSetting.ai_openai_api_key}"
end
if SiteSetting.ai_openai_organization.present?
h["OpenAI-Organization"] = SiteSetting.ai_openai_organization
end
end
Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload }
end
def extract_completion_from(response_raw)
parsed = JSON.parse(response_raw, symbolize_names: true)
(
if @streaming_mode
parsed.dig(:choices, 0, :delta, :content)
else
parsed.dig(:choices, 0, :message, :content)
end
).to_s
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_prompt_for_tokenizer(prompt)
prompt.map { |message| message[:content] || message["content"] || "" }.join("\n")
end
end
end
end
end