discourse-ai/lib/shared/inference/openai_completions.rb

156 lines
4.7 KiB
Ruby

# frozen_string_literal: true
module ::DiscourseAi
module Inference
class OpenAiCompletions
TIMEOUT = 60
CompletionFailed = Class.new(StandardError)
def self.perform!(
messages,
model,
temperature: nil,
top_p: nil,
max_tokens: nil,
functions: nil,
user_id: nil
)
log = nil
response_data = +""
response_raw = +""
url =
if model.include?("gpt-4")
if model.include?("32k")
URI(SiteSetting.ai_openai_gpt4_32k_url)
else
URI(SiteSetting.ai_openai_gpt4_url)
end
else
if model.include?("16k")
URI(SiteSetting.ai_openai_gpt35_16k_url)
else
URI(SiteSetting.ai_openai_gpt35_url)
end
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 }
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
end
end
return response_data
end
end
ensure
if log && block_given?
request_tokens = DiscourseAi::Tokenizer::OpenAiTokenizer.size(extract_prompt(messages))
response_tokens = DiscourseAi::Tokenizer::OpenAiTokenizer.size(response_data)
log.update!(
raw_response_payload: response_raw,
request_tokens: request_tokens,
response_tokens: response_tokens,
)
end
if log && Rails.env.development?
puts "OpenAiCompletions: request_tokens #{log.request_tokens} response_tokens #{log.response_tokens}"
end
end
def self.extract_prompt(messages)
messages.map { |message| message[:content] || message["content"] || "" }.join("\n")
end
end
end
end