Class: AIA::ChatProcessorService

Inherits:
Object
  • Object
show all
Defined in:
lib/aia/chat_processor_service.rb

Instance Method Summary collapse

Constructor Details

#initialize(ui_presenter, directive_processor = nil) ⇒ ChatProcessorService

Returns a new instance of ChatProcessorService.



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# File 'lib/aia/chat_processor_service.rb', line 5

def initialize(ui_presenter, directive_processor = nil)
  @ui_presenter = ui_presenter
  @speaker = AIA.speak? ? AiClient.new(AIA.config.audio.speech_model) : nil
  @directive_processor = directive_processor
end

Instance Method Details

#determine_operation_type ⇒ Object 



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# File 'lib/aia/chat_processor_service.rb', line 152

def determine_operation_type
  # With multiple models, determine operation type from the first model
  # or provide a generic description
  models = AIA.config.models
  if models.is_a?(Array) && models.size > 1
    "MULTI-MODEL PROCESSING"
  else
    mode = AIA.client.model.modalities
    mode.input.join(',') + " TO " + mode.output.join(',')
  end
end

#maybe_change_model ⇒ Object 



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# File 'lib/aia/chat_processor_service.rb', line 87

def maybe_change_model
  # With multiple models, we don't need to change the model in the same way
  # The RubyLLMAdapter now handles multiple models internally
  # This method is kept for backward compatibility but may not be needed
  models = AIA.config.models
  return if models.is_a?(Array) && models.size > 1

  return unless AIA.client.respond_to?(:model) && AIA.client.model.respond_to?(:id)
  client_model = AIA.client.model.id

  # Get the first model name for comparison
  first_model = models.first
  model_name = first_model.respond_to?(:name) ? first_model.name : first_model.to_s

  # client_model is the full resolved ID (e.g. "claude-sonnet-4-20250514"),
  # model_name is the configured alias (e.g. "claude-sonnet-4").
  # The alias is always a prefix/substring of the resolved ID, so check that way.
  unless client_model.downcase.include?(model_name.downcase)
    AIA.client = AIA.client.class.new
  end
end

#output_response(response) ⇒ Object 



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# File 'lib/aia/chat_processor_service.rb', line 110

def output_response(response)
  speak(response)

  out_file = AIA.config.output.file

  # Output to STDOUT or file based on out_file configuration
  if out_file.nil? || 'STDOUT' == out_file.upcase
    print "\nAI:\n  "
    puts response
  else
    mode = AIA.append? ? 'a' : 'w'
    File.open(out_file, mode) do |file|
      file.puts "\nAI: "
      # Handle multi-line responses by adding proper indentation
      response_lines = response.to_s.split("\n")
      response_lines.each do |line|
        file.puts "  #{line}"
      end
    end
  end

  history_file = AIA.config.output.history_file
  if history_file
    File.open(history_file, 'a') do |f|
      f.puts "=== #{Time.now} ==="
      f.puts "Prompt: #{AIA.config.prompt_id}"
      f.puts "Response: #{response}"
      f.puts "==="
    end
  end
end

#process_next_prompts(response, prompt_handler) ⇒ Object 



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# File 'lib/aia/chat_processor_service.rb', line 143

def process_next_prompts(response, prompt_handler)
  if @directive_processor.directive?(response)
    directive_result = @directive_processor.process(response, @history_manager.history)
    response = directive_result[:result]
    @history_manager.history = directive_result[:modified_history] if directive_result[:modified_history]
  end
end

#process_prompt(prompt) ⇒ Object 



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# File 'lib/aia/chat_processor_service.rb', line 25

def process_prompt(prompt)
  result = nil
  @ui_presenter.("Processing", determine_operation_type) do
    result = send_to_client(prompt)
  end

  # Debug output to understand what we're receiving
  logger.debug("Result received", result_class: result.class.name)
  logger.debug("Result details", inspect: result.inspect[0..500])

  # Preserve token information if available for metrics
  if result.is_a?(String)
    logger.debug("Processing result", type: "String")
    { content: result, metrics: nil }
  elsif result.respond_to?(:multi_model?) && result.multi_model?
    logger.debug("Processing result", type: "multi-model response")
    # Handle multi-model response with metrics
    {
      content: result.content,
      metrics: nil,  # Individual model metrics handled separately
      multi_metrics: result.metrics_list
    }
  elsif result.respond_to?(:content)
    logger.debug("Processing result", type: "standard response with content method")
    # Standard response object with content method
    {
      content: result.content,
      metrics: {
        input_tokens: result.respond_to?(:input_tokens) ? result.input_tokens : nil,
        output_tokens: result.respond_to?(:output_tokens) ? result.output_tokens : nil,
        model_id: result.respond_to?(:model_id) ? result.model_id : nil
      }
    }
  else
    logger.debug("Processing result", type: "fallback (unexpected type)")
    # Fallback for unexpected response types
    { content: result.to_s, metrics: nil }
  end
end

#send_to_client(conversation_or_conversations) ⇒ Object

conversation is an Array of Hashes (single model) or Hash of Arrays (multi-model per-model contexts) Each entry is an interchange with the LLM.



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# File 'lib/aia/chat_processor_service.rb', line 68

def send_to_client(conversation_or_conversations)
  maybe_change_model

  # Handle per-model conversations (Hash) or single conversation (Array) - ADR-002 revised
  if conversation_or_conversations.is_a?(Hash)
    # Multi-model with per-model contexts: pass Hash directly to adapter
    logger.debug("Sending per-model conversations to client")
    result = AIA.client.chat(conversation_or_conversations)
  else
    # Single conversation for single model
    logger.debug("Sending conversation to client", conversation: conversation_or_conversations.inspect[0..500])
    result = AIA.client.chat(conversation_or_conversations)
  end

  logger.debug("Client returned", result_class: result.class.name, result: result.inspect[0..500])
  result
end

#speak(text) ⇒ Object 



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# File 'lib/aia/chat_processor_service.rb', line 12

def speak(text)
  return unless AIA.speak?

  @speaker ||= AiClient.new(AIA.config.audio.speech_model) if AIA.config.audio.speech_model

  if @speaker
    system(AIA.config.audio.speak_command, @speaker.speak(text).path)
  else
    warn "Warning: Unable to speak. Speech model not configured properly."
  end
end