Consolida o trabalho desta branch de abril/2026 em um bloco pronto pra testar em staging antes do merge pra main. ## Correções de memória semântica - ExtractionService: Princípio Zero + Regra de Ouro (ação consumada vs intenção). - Cenário Daniela_Reservas: Passo 0 de classificação (consulta/intenção/fora). ## Roleta da Sorte (end-to-end) - Schema Supabase + 7 RPCs atômicas (server-side, idempotentes). - Services: Offer, Redeem, WeeklyReport. - Jobs: OfferRouletteJob (hook em ConfirmationService após Pix pago), NotifyRevealed + Scheduler de fallback. - Tool manual GenerateRoletaLinkTool + endpoint público /roleta/notify. - Dashboard /captain/roleta com Resgate + Relatório + anomaly detection. ## Cenário Reclamacoes_Ouvidoria - Triagem P1-P4, framework LAST, Three-level listening, Self-check. - Sem compensação material, detecção de cliente frustrado eleva prioridade. ## Analytics - Funil de conversão /captain/funnel: 5 etapas via regex, zero LLM. - Detector de churn via ChurnOutreach* (cron dias úteis 10h-17h BRT). ## Trabalho pré-existente incluído - Captain Executive Reports (ceo_digest, mattermost_delivery). - get_reserva_preco_tool, Lifecycle ajustes, Reservations UI polimentos. ## Outros - .gitignore: patterns pra credenciais. - Migrations de scenarios idempotentes. - i18n completa pt_BR+en pra roleta/funnel. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
335 lines
11 KiB
Ruby
335 lines
11 KiB
Ruby
require_dependency 'captain/conversation/reaction_policy'
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require_dependency 'captain/errors/system_prompt_leak_error'
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# rubocop:disable Metrics/ClassLength
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class Captain::Conversation::ResponseBuilderJob < ApplicationJob
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include Captain::Conversation::ReactionPolicy
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MAX_MESSAGE_LENGTH = 10_000
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REACTION_SAMPLE_RATE = Captain::Conversation::ReactionPolicy::REACTION_SAMPLE_RATE
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# Padrões que indicam que o LLM retornou o system prompt em vez de uma resposta ao cliente.
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# Qualquer mensagem que comece com esses padrões deve ser bloqueada e redirecionar para handoff humano.
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SYSTEM_PROMPT_LEAK_PATTERNS = [
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/\A\[Contexto\]/i,
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/\A<contexto>/i,
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/\A#\s*System Context/i,
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/\A\[Identity\]/i,
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/\A\[Context\]/i,
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/\AYou are part of Captain,/i
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].freeze
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# Padrões que indicam vazamento de "pensamento" / instrução interna em qualquer parte da mensagem.
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# Se a resposta contém qualquer um destes, ela está descrevendo o que fazer em vez de fazer.
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# Bloqueia e força handoff humano para evitar que o cliente veja conteúdo interno.
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THOUGHT_LEAK_PATTERNS = [
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# Narração em terceira pessoa sobre o próprio assistente
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/\b(jasmine|a\s+ia|o\s+assistente|o\s+bot)\s+(deve|deveria|precisa|tem\s+que|nunca\s+deve|n[ãa]o\s+deve)\b/i,
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# Instrução condicional vazada
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/\bquando\s+o\s+cliente\s+(fa[zç]er|disser|pedir|perguntar|falar|usar|mencionar|informar)\b/i,
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# Comandos imperativos pra IA disfarçados de resposta
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/\b(busque|consulte|acione|chame|use)\s+(a\s+)?ferramenta\b/i,
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/\b(passe|envie|repasse)\s+para\s+(ele|ela|o\s+cliente)\b/i,
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# Nomes técnicos de tools/handoffs nunca devem aparecer ao cliente
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/\bhandoff_to_/i,
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/\bcaptain--tools--/i,
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/\b(daniela_reservas|maria_fotos|disponibilidade_suites|outras_unidades)\b/i,
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/\bhandoff_imediato\b/i,
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# Descrições meta de fluxo
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/\b(fluxo\s+correto|gatilhos?\s+de\s+exemplo|antes\s+de\s+responder|antes\s+de\s+gerar)\b/i,
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# JSON cru / blocos de schema
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/\A\s*[{\[]/,
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/"reasoning"\s*:/,
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/"reaction_emoji"\s*:/,
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# Liquid não renderizado
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/\{\{\s*\w+\s*\}\}/,
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/\{%\s*\w+/
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].freeze
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retry_on ActiveStorage::FileNotFoundError, attempts: 3, wait: 2.seconds
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retry_on Faraday::BadRequestError, attempts: 3, wait: 2.seconds
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def perform(conversation, assistant, message = nil)
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@conversation = conversation
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@inbox = conversation.inbox
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@assistant = assistant
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return if debounce_requested?(message)
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with_concurrency_lock do
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# Pre-typing phase: Wait 1 second before showing the typing indicator
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sleep(1.0)
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return if debounce_requested?(message)
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simulate_typing_and_execute
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end
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end
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private
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def with_concurrency_lock
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lock_key = "captain_response_lock_#{@conversation.id}"
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return unless Rails.cache.write(lock_key, true, unless_exist: true, expires_in: 60.seconds)
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begin
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yield
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ensure
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Rails.cache.delete(lock_key)
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end
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end
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def simulate_typing_and_execute
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# Trigger typing on before processing
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simulate_typing('typing_on')
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@start_time = Time.zone.now
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execute_agent_response
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ensure
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simulate_typing('typing_off')
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end
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def execute_agent_response
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Current.executed_by = @assistant
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if captain_v2_enabled?
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generate_response_with_v2
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else
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generate_and_process_response
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end
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rescue Captain::Errors::SystemPromptLeakError => e
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Rails.logger.error("[CAPTAIN][ResponseBuilderJob] #{e.message} — transferindo para humano")
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process_action('handoff')
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rescue StandardError => e
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raise e if e.is_a?(ActiveStorage::FileNotFoundError) || e.is_a?(Faraday::BadRequestError)
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handle_error(e)
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ensure
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Current.executed_by = nil
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end
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def debounce_requested?(message)
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return false if message.blank?
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last_incoming = @conversation.messages.where(message_type: :incoming).last
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is_debounce = last_incoming.present? && last_incoming.id != message.id
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if is_debounce
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Rails.logger.info(
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'[CAPTAIN][ResponseBuilderJob] Debounce requested! ' \
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"Current message ID: #{message.id}, Last incoming ID: #{last_incoming.id}"
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)
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end
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is_debounce
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end
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def simulate_typing(status)
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# Trigger ActionCable for the Chatwoot dashboard
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cable_status = status == 'typing_on' ? 'on' : 'off'
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Conversations::TypingStatusManager.new(
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@conversation,
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@assistant,
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{ typing_status: cable_status, is_private: false }
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).toggle_typing_status
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# Trigger external typing indicator (WhatsApp, API channels, etc)
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@inbox.channel.toggle_typing_status(status, conversation: @conversation) if @inbox.channel.respond_to?(:toggle_typing_status)
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rescue StandardError => e
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Rails.logger.error("[CAPTAIN] Failed to simulate typing #{status}: #{e.message}")
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end
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delegate :account, :inbox, to: :@conversation
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def generate_and_process_response
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@response = Captain::Llm::AssistantChatService.new(assistant: @assistant, conversation_id: @conversation.display_id).generate_response(
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message_history: collect_previous_messages
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)
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process_response
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end
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def generate_response_with_v2
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@response = Captain::Assistant::AgentRunnerService.new(assistant: @assistant, conversation: @conversation).generate_response(
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message_history: collect_previous_messages
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)
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process_response
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end
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def process_response
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ActiveRecord::Base.transaction do
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if handoff_requested?
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process_action('handoff')
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else
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humanized_delay(@response['response'])
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create_messages
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Rails.logger.info("[CAPTAIN][ResponseBuilderJob] Incrementing response usage for #{account.id}")
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account.increment_response_usage
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end
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end
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end
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# rubocop:disable Metrics/AbcSize
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def humanized_delay(response_text)
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return if response_text.blank?
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text = response_text.to_s
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chars_count = text.length
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punctuation_pauses = text.count(',.!?;:')
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# Velocidade média de digitação: ~15 a 20 caracteres por segundo
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base_time = (chars_count / 15.0) + (punctuation_pauses * 0.25)
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# Variação humana (jitter)
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jitter = 0.85 + (rand * 0.35)
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target_delay = (base_time * jitter).clamp(2.0, 15.0)
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elapsed_time = Time.zone.now - @start_time
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# Para de digitar exatamente 1 segundo antes de disparar a mensagem final
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# Limitamos para não ficar negativo se o processamento do LLM demorar mais do que a digitação calculada
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remaining_delay = [target_delay - elapsed_time - 1.0, 0].max
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return unless remaining_delay.positive?
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Rails.logger.info(
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"[CAPTAIN][ResponseBuilderJob] Simulating typing delay of #{remaining_delay.round(2)}s " \
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"(target: #{target_delay.round(2)}s, total elapsed: #{elapsed_time.round(2)}s, stopping 1s early)"
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)
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sleep(remaining_delay)
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end
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# rubocop:enable Metrics/AbcSize
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def collect_previous_messages
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@conversation
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.messages
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.where(message_type: [:incoming, :outgoing])
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.where(private: false)
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.filter_map do |message|
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content = prepare_multimodal_message_content(message)
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# Ignorar mensagens contaminadas por vazamento de system prompt no histórico
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if message.message_type == 'outgoing' && system_prompt_leak?(content)
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Rails.logger.warn("[CAPTAIN][ResponseBuilderJob] Skipping leaked system-prompt message id=#{message.id} from history")
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next
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end
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message_hash = {
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content: content,
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role: determine_role(message)
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}
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# Include agent_name if present in additional_attributes
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message_hash[:agent_name] = message.additional_attributes['agent_name'] if message.additional_attributes&.dig('agent_name').present?
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message_hash
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end
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end
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def determine_role(message)
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message.message_type == 'incoming' ? 'user' : 'assistant'
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end
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def prepare_multimodal_message_content(message)
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Captain::OpenAiMessageBuilderService.new(message: message).generate_content
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end
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def handoff_requested?
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@response['response'] == 'conversation_handoff'
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end
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def process_action(action)
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case action
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when 'handoff'
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I18n.with_locale(@assistant.account.locale) do
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create_handoff_message
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@conversation.bot_handoff!
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send_out_of_office_message_if_applicable
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end
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end
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end
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def send_out_of_office_message_if_applicable
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# Campaign conversations should never receive OOO templates — the campaign itself
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# serves as the initial outreach, and OOO would be confusing in that context.
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return if @conversation.campaign.present?
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::MessageTemplates::Template::OutOfOffice.perform_if_applicable(@conversation)
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end
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def create_handoff_message
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create_outgoing_message(
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@assistant.config['handoff_message'].presence || I18n.t('conversations.captain.handoff')
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)
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end
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def create_messages
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target_message = last_incoming_message
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create_reaction(target_message) if should_send_reaction_for?(target_message)
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validate_message_content!(@response['response'])
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create_outgoing_message(@response['response'], agent_name: @response['agent_name'])
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end
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def create_reaction(target_message)
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@conversation.messages.create!(
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message_type: :outgoing,
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account_id: account.id,
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inbox_id: inbox.id,
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sender: @assistant,
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content: @response['reaction_emoji'],
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content_attributes: {
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'is_reaction' => true,
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'in_reply_to' => target_message.id,
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'in_reply_to_external_id' => target_message.source_id
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}
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)
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end
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def validate_message_content!(content)
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raise ArgumentError, 'Message content cannot be blank' if content.blank?
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return unless system_prompt_leak?(content)
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Rails.logger.error(
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'[CAPTAIN][ResponseBuilderJob] SYSTEM PROMPT LEAK DETECTADO — ' \
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"bloqueando mensagem pública. Prévia: #{content.to_s.truncate(300)}"
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)
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raise Captain::Errors::SystemPromptLeakError,
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'Resposta do LLM contém conteúdo do system prompt — transferindo para humano'
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end
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def system_prompt_leak?(content)
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text = content.is_a?(String) ? content.strip : content.to_s.strip
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return true if SYSTEM_PROMPT_LEAK_PATTERNS.any? { |pattern| text.match?(pattern) }
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return true if THOUGHT_LEAK_PATTERNS.any? { |pattern| text.match?(pattern) }
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false
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end
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def create_outgoing_message(message_content, agent_name: nil)
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additional_attrs = {}
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additional_attrs[:agent_name] = agent_name if agent_name.present?
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@conversation.messages.create!(
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message_type: :outgoing,
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account_id: account.id,
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inbox_id: inbox.id,
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sender: @assistant,
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content: message_content,
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additional_attributes: additional_attrs
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)
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end
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def handle_error(error)
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log_error(error)
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process_action('handoff')
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true
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end
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def log_error(error)
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ChatwootExceptionTracker.new(error, account: account).capture_exception
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end
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def captain_v2_enabled?
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account.feature_enabled?('captain_integration_v2')
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end
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end
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# rubocop:enable Metrics/ClassLength
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