feat: new response build
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@@ -26,9 +26,15 @@ class Captain::Conversation::ResponseBuilderJob < ApplicationJob
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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).generate_response(
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message_history: collect_previous_messages
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)
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@response = if captain_v2_enabled?
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Captain::Assistant::AgentRunnerService.new(assistant: @assistant, user: find_conversation_user).generate_response(
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message_history: collect_previous_messages
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)
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else
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Captain::Llm::AssistantChatService.new(assistant: @assistant).generate_response(
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message_history: collect_previous_messages
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)
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end
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return process_action('handoff') if handoff_requested?
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@@ -104,4 +110,17 @@ class Captain::Conversation::ResponseBuilderJob < ApplicationJob
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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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true
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end
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def find_conversation_user
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# TODO: IMPORTANT - The assistant agents are user-facing and their tools should NOT need permission limits.
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# The tools themselves must be built to ensure they don't perform any wrong/harmful actions.
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# Currently returning first admin as a temporary solution.
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# Future: Consider creating a dedicated system user for assistant operations.
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account.administrators.first
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end
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end
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@@ -0,0 +1,131 @@
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require 'agents'
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class Captain::Assistant::AgentRunnerService
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def initialize(assistant:, user: nil)
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@assistant = assistant
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@user = user
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end
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def generate_response(additional_message: nil, message_history: [], role: 'user')
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# Create the assistant agent with scenario handoffs
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agent = @assistant.agent(@user)
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# Convert message history to proper format for ai-agents
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formatted_history = format_message_history(message_history)
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# Build context with conversation history
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context = build_context(formatted_history)
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# Create agent runner
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runner = Agents::AgentRunner.new(agent: agent)
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# Add context if available
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runner.add_context(context) if context.present?
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# Get the message to process
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message_to_process = build_message_to_process(additional_message, message_history, role)
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# Run the agent
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result = runner.run(message_to_process)
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# Process and format the result
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process_agent_result(result)
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rescue StandardError => e
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Rails.logger.error "[Captain V2] AgentRunnerService error: #{e.message}"
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Rails.logger.error e.backtrace.join("\n")
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# Return error response in expected format
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{
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'response' => 'conversation_handoff',
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'reasoning' => "Error occurred: #{e.message}"
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}
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end
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private
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def format_message_history(message_history)
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# Convert OpenAI format to a more readable format for context
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message_history.map do |msg|
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content = msg[:content]
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# Handle multimodal content
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if content.is_a?(Array)
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text_parts = content.select { |part| part[:type] == 'text' }.pluck(:text)
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content = text_parts.join(' ')
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end
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"#{msg[:role]}: #{content}"
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end.join("\n")
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end
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def build_context(formatted_history)
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{
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conversation_history: formatted_history,
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account_id: @assistant.account_id,
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user_id: @user&.id,
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assistant_id: @assistant.id,
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assistant_config: @assistant.config,
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timestamp: Time.current.to_i
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}
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end
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def build_message_to_process(additional_message, message_history, _role)
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return additional_message if additional_message.present?
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extract_last_user_message(message_history)
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end
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def extract_last_user_message(message_history)
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last_user_msg = message_history.reverse.find { |msg| msg[:role] == 'user' }
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return '' unless last_user_msg
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extract_text_from_content(last_user_msg[:content])
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end
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def extract_text_from_content(content)
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return content unless content.is_a?(Array)
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text_parts = content.select { |part| part[:type] == 'text' }.pluck(:text)
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text_parts.join(' ')
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end
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def process_agent_result(result)
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# Log the result for debugging
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Rails.logger.info "[Captain V2] Agent result: #{result.inspect}"
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# Check if there was a handoff to a scenario
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Rails.logger.info "[Captain V2] Handoff to scenario: #{result.pending_handoff[:agent_name]}" if result.pending_handoff.present?
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# Format the response to match expected structure
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format_response(result.output, result)
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end
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def format_response(output, result)
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response_hash = parse_output_to_hash(output, result)
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{
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'response' => extract_response_content(response_hash, output),
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'reasoning' => extract_reasoning(response_hash, result)
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}
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end
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def parse_output_to_hash(output, _result)
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return output if output.is_a?(Hash)
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return {} unless output.is_a?(String) && output.include?('{')
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JSON.parse(output)
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rescue JSON::ParserError
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{}
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end
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def extract_response_content(parsed_hash, original_output)
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return original_output.to_s if parsed_hash.empty?
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parsed_hash['response'] || parsed_hash['result'] || original_output.to_s
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end
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def extract_reasoning(parsed_hash, result)
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return "Processed by #{result.agent_name}" if parsed_hash.empty?
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parsed_hash['reasoning'] || parsed_hash['thought_process'] || "Processed by #{result.agent_name}"
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end
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end
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