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assistant-storefront/enterprise/app/services/captain/llm/contact_notes_service.rb

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class Captain::Llm::ContactNotesService < Llm::BaseAiService
include Integrations::LlmInstrumentation
def initialize(assistant, conversation)
super()
@assistant = assistant
@conversation = conversation
@contact = conversation.contact
@content = "#Contact\n\n#{@contact.to_llm_text} \n\n#Conversation\n\n#{@conversation.to_llm_text}"
end
def generate_and_update_notes
generate_notes.each do |note|
@contact.notes.create!(content: note)
end
end
private
attr_reader :content
def generate_notes
response = instrument_llm_call(instrumentation_params) do
chat
.with_params(response_format: { type: 'json_object' })
.with_instructions(system_prompt)
.ask(@content)
end
parse_response(response.content)
rescue RubyLLM::Error => e
ChatwootExceptionTracker.new(e, account: @conversation.account).capture_exception
[]
end
def instrumentation_params
{
span_name: 'llm.captain.contact_notes',
model: @model,
temperature: @temperature,
account_id: @conversation.account_id,
conversation_id: @conversation.display_id,
feature_name: 'contact_notes',
messages: [
{ role: 'system', content: system_prompt },
{ role: 'user', content: @content }
],
metadata: { assistant_id: @assistant.id, contact_id: @contact.id }
}
end
def system_prompt
account_language = @conversation.account.locale_english_name
Captain::Llm::SystemPromptsService.notes_generator(account_language)
end
def parse_response(response)
return [] if response.nil?
JSON.parse(response.strip).fetch('notes', [])
rescue JSON::ParserError => e
Rails.logger.error "Error in parsing GPT processed response: #{e.message}"
[]
end
end