discourse-ai/lib/inference/open_ai_embeddings.rb

36 lines
1.1 KiB
Ruby

# frozen_string_literal: true
module ::DiscourseAi
module Inference
class OpenAiEmbeddings
def self.perform!(content, model:, dimensions: nil)
headers = { "Content-Type" => "application/json" }
if SiteSetting.ai_openai_embeddings_url.include?("azure")
headers["api-key"] = SiteSetting.ai_openai_api_key
else
headers["Authorization"] = "Bearer #{SiteSetting.ai_openai_api_key}"
end
payload = { model: model, input: content }
payload[:dimensions] = dimensions if dimensions.present?
conn = Faraday.new { |f| f.adapter FinalDestination::FaradayAdapter }
response = conn.post(SiteSetting.ai_openai_embeddings_url, payload.to_json, headers)
case response.status
when 200
JSON.parse(response.body, symbolize_names: true)
when 429
# TODO add a AdminDashboard Problem?
else
Rails.logger.warn(
"OpenAI Embeddings failed with status: #{response.status} body: #{response.body}",
)
raise Net::HTTPBadResponse
end
end
end
end
end