Class: RailsConsoleAi::ConversationEngine

Inherits:
Object
  • Object
show all
Defined in:
lib/rails_console_ai/conversation_engine.rb

Constant Summary collapse

LARGE_OUTPUT_THRESHOLD =

chars — truncate tool results larger than this immediately

20_000
LARGE_OUTPUT_PREVIEW_CHARS =

chars — how much of the output the LLM sees upfront

16_000
LOOP_WARN_THRESHOLD =

same tool+args repeated → inject warning

3
LOOP_BREAK_THRESHOLD =

same tool+args repeated → break loop

5

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(binding_context:, channel:, slack_thread_ts: nil, slack_channel_name: nil) ⇒ ConversationEngine

Returns a new instance of ConversationEngine.



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# File 'lib/rails_console_ai/conversation_engine.rb', line 11

def initialize(binding_context:, channel:, slack_thread_ts: nil, slack_channel_name: nil)
  @binding_context = binding_context
  @channel = channel
  @slack_thread_ts = slack_thread_ts
  @slack_channel_name = slack_channel_name
  @executor = Executor.new(binding_context, channel: channel)
  @provider = nil
  @context_builder = nil
  @context = nil
  @history = []
  @total_input_tokens = 0
  @total_output_tokens = 0
  @token_usage = Hash.new { |h, k| h[k] = { input: 0, output: 0 } }
  @interactive_session_id = nil
  @session_name = nil
  @interactive_query = nil
  @interactive_start = nil
  @last_interactive_code = nil
  @last_interactive_output = nil
  @last_interactive_result = nil
  @last_interactive_executed = false
  @compact_warned = false
  @prior_duration_ms = 0
  @expanded_output_ids = Set.new
end

Instance Attribute Details

#history ⇒ Object (readonly)

Returns the value of attribute history.



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# File 'lib/rails_console_ai/conversation_engine.rb', line 3

def history
  @history
end

#interactive_session_id ⇒ Object (readonly)

Returns the value of attribute interactive_session_id.



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# File 'lib/rails_console_ai/conversation_engine.rb', line 3

def interactive_session_id
  @interactive_session_id
end

#session_name ⇒ Object (readonly)

Returns the value of attribute session_name.



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# File 'lib/rails_console_ai/conversation_engine.rb', line 3

def session_name
  @session_name
end

#total_input_tokens ⇒ Object (readonly)

Returns the value of attribute total_input_tokens.



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# File 'lib/rails_console_ai/conversation_engine.rb', line 3

def total_input_tokens
  @total_input_tokens
end

#total_output_tokens ⇒ Object (readonly)

Returns the value of attribute total_output_tokens.



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# File 'lib/rails_console_ai/conversation_engine.rb', line 3

def total_output_tokens
  @total_output_tokens
end

Instance Method Details

#add_user_message(text) ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 213

def add_user_message(text)
  @history << { role: :user, content: text }
end

#compact_history ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 487

def compact_history
  if @history.length < 6
    $stdout.puts "\e[33m  History too short to compact (#{@history.length} messages). Need at least 6.\e[0m"
    return
  end

  before_chars = @history.sum { |m| m[:content].to_s.length }
  before_count = @history.length

  executed_code = extract_executed_code(@history)

  $stdout.puts "\e[2m  Compacting #{before_count} messages (~#{format_tokens(before_chars)} chars)...\e[0m"

  system_prompt = <<~PROMPT
    You are a conversation summarizer. The user will provide a conversation history from a Rails console AI assistant session.

    Produce a concise summary that captures:
    - What the user has been working on and their goals
    - Key findings and data discovered (include specific values, IDs, record counts)
    - Current state: what worked, what failed, where things stand
    - Important variable names, model names, or table names referenced

    Do NOT include code that was executed — that will be preserved separately.
    Be concise but preserve all information that would be needed to continue the conversation naturally.
    Do NOT include any preamble — just output the summary directly.
  PROMPT

  history_text = @history.map { |m| "#{m[:role]}: #{m[:content]}" }.join("\n\n")
  messages = [{ role: :user, content: "Summarize this conversation history:\n\n#{history_text}" }]

  begin
    result = provider.chat(messages, system_prompt: system_prompt)
    track_usage(result)

    summary = result.text.to_s.strip
    if summary.empty?
      $stdout.puts "\e[33m  Compaction failed: empty summary returned.\e[0m"
      return
    end

    content = "CONVERSATION SUMMARY (compacted):\n#{summary}"
    unless executed_code.empty?
      content += "\n\nCODE EXECUTED THIS SESSION (preserved for continuation):\n#{executed_code}"
    end

    @history = [{ role: :user, content: content }]
    @compact_warned = false

    after_chars = @history.first[:content].length
    $stdout.puts "\e[36m  Compacted: #{before_count} messages -> 1 summary (~#{format_tokens(before_chars)} -> ~#{format_tokens(after_chars)} chars)\e[0m"
    summary.each_line { |line| $stdout.puts "\e[2m  #{line.rstrip}\e[0m" }
    if !executed_code.empty?
      $stdout.puts "\e[2m  (preserved #{executed_code.scan(/```ruby/).length} executed code block(s))\e[0m"
    end
    display_usage(result)
  rescue => e
    $stdout.puts "\e[31m  Compaction failed: #{e.message}\e[0m"
  end
end

#context ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 444

def context
  base = @context_base ||= context_builder.build
  parts = [base]
  parts << safety_context
  parts << @channel.system_instructions
  parts << binding_variable_summary
  parts.compact.join("\n\n")
end

#display_conversation ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 418

def display_conversation
  stdout = @channel.respond_to?(:real_stdout) ? @channel.real_stdout : $stdout
  if @history.empty?
    stdout.puts "\e[2m  (no conversation history yet)\e[0m"
    return
  end

  messages = trim_large_outputs(@history)
  system_prompt = context
  require 'rails_console_ai/tools/registry'
  tools = Tools::Registry.new(executor: @executor, channel: @channel) rescue nil
  opts = { io: stdout, prefix: "  ", d: "\e[2m", r: "\e[0m" }
  conversation_summary(messages, system_prompt, tools, **opts)
  conversation_messages(messages, **opts)
end

#display_conversation_to(io) ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 434

def display_conversation_to(io)
  messages = trim_large_outputs(@history)
  system_prompt = context
  require 'rails_console_ai/tools/registry'
  tools = Tools::Registry.new(executor: @executor, channel: @channel) rescue nil
  opts = { io: io, prefix: "", d: "", r: "" }
  conversation_summary(messages, system_prompt, tools, **opts)
  conversation_messages(messages, **opts)
end

#display_cost_summary ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 381

def display_cost_summary
  if @token_usage.empty?
    $stdout.puts "\e[2m  No usage yet.\e[0m"
    return
  end

  total_cost = 0.0
  $stdout.puts "\e[36m  Cost estimate:\e[0m"

  @token_usage.each do |model, usage|
    pricing = Configuration::PRICING[model]
    pricing ||= { input: 0.0, output: 0.0 } if RailsConsoleAi.configuration.provider == :local
    input_str = "in: #{format_tokens(usage[:input])}"
    output_str = "out: #{format_tokens(usage[:output])}"

    if pricing
      cost = (usage[:input] * pricing[:input]) + (usage[:output] * pricing[:output])
      cache_read = usage[:cache_read] || 0
      cache_write = usage[:cache_write] || 0
      if (cache_read > 0 || cache_write > 0) && pricing[:cache_read]
        # Subtract cached tokens from full-price input, add at cache rates
        cost -= cache_read * pricing[:input]
        cost += cache_read * pricing[:cache_read]
        cost += cache_write * (pricing[:cache_write] - pricing[:input])
      end
      total_cost += cost
      cache_str = ""
      cache_str = "  cache r: #{format_tokens(cache_read)} w: #{format_tokens(cache_write)}" if cache_read > 0 || cache_write > 0
      $stdout.puts "\e[2m    #{model}:  #{input_str}  #{output_str}#{cache_str}  ~$#{'%.2f' % cost}\e[0m"
    else
      $stdout.puts "\e[2m    #{model}:  #{input_str}  #{output_str}  (pricing unknown)\e[0m"
    end
  end

  $stdout.puts "\e[36m    Total: ~$#{'%.2f' % total_cost}\e[0m"
end

#display_session_summary ⇒ Object

— Display helpers (used by Channel::Console slash commands) —



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# File 'lib/rails_console_ai/conversation_engine.rb', line 376

def display_session_summary
  return if @total_input_tokens == 0 && @total_output_tokens == 0
  $stdout.puts "\e[2m[session totals — in: #{@total_input_tokens} | out: #{@total_output_tokens} | total: #{@total_input_tokens + @total_output_tokens}]\e[0m"
end

#downgrade_from_thinking_model ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 468

def downgrade_from_thinking_model
  config = RailsConsoleAi.configuration
  default = config.resolved_model
  current = effective_model

  if current == default && @model_override.nil?
    $stdout.puts "\e[36m  Already using default model (#{current}).\e[0m"
  else
    @model_override = nil
    @provider = nil
    $stdout.puts "\e[36m  Switched back to default model: #{default}\e[0m"
  end
  effective_model
end

#effective_model ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 483

def effective_model
  @model_override || RailsConsoleAi.configuration.resolved_model
end

#execute_direct(raw_code) ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 239

def execute_direct(raw_code)
  exec_result = @executor.execute_unsafe(raw_code)

  output_parts = []
  output_parts << "Output:\n#{@executor.last_output.strip}" if @executor.last_output && !@executor.last_output.strip.empty?
  output_parts << "Return value: #{exec_result.inspect}" if exec_result

  result_str = output_parts.join("\n\n")

  context_msg = "User directly executed code: `#{raw_code}`"
  output_id = @executor.store_output(result_str)
  if result_str.length > LARGE_OUTPUT_THRESHOLD
    preview = result_str[0, LARGE_OUTPUT_PREVIEW_CHARS]
    context_msg += "\n#{preview}\n\n[Output truncated at #{LARGE_OUTPUT_PREVIEW_CHARS} of #{result_str.length} chars — use explore_output with output_id=#{output_id} for focused queries, or recall_output to expand in place]"
  elsif !output_parts.empty?
    context_msg += "\n#{result_str}"
  end
  @history << { role: :user, content: context_msg, output_id: output_id }

  @interactive_query ||= "> #{raw_code}"
  @last_interactive_code = raw_code
  @last_interactive_output = @executor.last_output
  @last_interactive_result = exec_result ? exec_result.inspect : nil
  @last_interactive_executed = true
end

#explain(query) ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 80

def explain(query)
  start_time = Process.clock_gettime(Process::CLOCK_MONOTONIC)
  console_capture = StringIO.new
  with_console_capture(console_capture) do
    result, _ = send_query(query)
    track_usage(result)
    @executor.display_response(result.text)
    display_usage(result)

    @_last_log_attrs = {
      query: query,
      conversation: [{ role: :user, content: query }, { role: :assistant, content: result.text }],
      mode: 'explain',
      executed: false,
      start_time: start_time
    }
  end

  log_session(@_last_log_attrs.merge(console_output: console_capture.string))
  nil
rescue Providers::ProviderError => e
  @channel.display_error("RailsConsoleAi Error: #{e.message}")
  nil
rescue => e
  @channel.display_error("RailsConsoleAi Error: #{e.class}: #{e.message}")
  nil
end

#finish_interactive_session ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 589

def finish_interactive_session
  @executor.on_prompt = nil
  require 'rails_console_ai/session_logger'
  duration_ms = ((Process.clock_gettime(Process::CLOCK_MONOTONIC) - @interactive_start) * 1000).round + @prior_duration_ms
  if @interactive_session_id
    SessionLogger.update(@interactive_session_id,
      conversation:  @history,
      input_tokens:  @total_input_tokens,
      output_tokens: @total_output_tokens,
      code_executed: @last_interactive_code,
      code_output:   @last_interactive_output,
      code_result:   @last_interactive_result,
      executed:      @last_interactive_executed,
      console_output: @channel.respond_to?(:console_capture_string) ? @channel.console_capture_string : nil,
      duration_ms:   duration_ms
    )
  elsif @interactive_query
    log_attrs = {
      query: @interactive_query,
      conversation: @history,
      mode: @slack_thread_ts ? 'slack' : 'interactive',
      code_executed: @last_interactive_code,
      code_output: @last_interactive_output,
      code_result: @last_interactive_result,
      executed: @last_interactive_executed,
      console_output: @channel.respond_to?(:console_capture_string) ? @channel.console_capture_string : nil,
      start_time: @interactive_start
    }
    log_attrs[:slack_thread_ts] = @slack_thread_ts if @slack_thread_ts
    log_attrs[:slack_channel_name] = @slack_channel_name if @slack_channel_name
    if @channel.user_identity
      log_attrs[:user_name] = @channel.mode == 'slack' ? "slack:#{@channel.user_identity}" : @channel.user_identity
    end
    log_session(log_attrs)
  end
end

#init_guide ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 122

def init_guide
  storage = RailsConsoleAi.storage
  existing_guide = begin
    content = storage.read(RailsConsoleAi::GUIDE_KEY)
    (content && !content.strip.empty?) ? content.strip : nil
  rescue
    nil
  end

  if existing_guide
    @channel.display("  Existing guide found (#{existing_guide.length} chars). Will update.")
  else
    @channel.display("  No existing guide. Exploring the app...")
  end

  require 'rails_console_ai/tools/registry'
  init_tools = Tools::Registry.new(mode: :init)
  sys_prompt = init_system_prompt(existing_guide)
  messages = [{ role: :user, content: "Explore this Rails application and generate the application guide." }]

  original_timeout = RailsConsoleAi.configuration.timeout
  RailsConsoleAi.configuration.timeout = [original_timeout, 120].max

  result, _ = send_query_with_tools(messages, system_prompt: sys_prompt, tools_override: init_tools)

  guide_text = result.text.to_s.strip
  guide_text = guide_text.sub(/\A```(?:markdown)?\s*\n?/, '').sub(/\n?```\s*\z/, '')
  guide_text = guide_text.sub(/\A.*?(?=^#\s)/m, '') if guide_text =~ /^#\s/m

  if guide_text.empty?
    @channel.display_warning("  No guide content generated.")
    return nil
  end

  storage.write(RailsConsoleAi::GUIDE_KEY, guide_text)
  path = storage.respond_to?(:root_path) ? File.join(storage.root_path, RailsConsoleAi::GUIDE_KEY) : RailsConsoleAi::GUIDE_KEY
  $stdout.puts "\e[32m  Guide saved to #{path} (#{guide_text.length} chars)\e[0m"
  display_usage(result)
  nil
rescue Interrupt
  $stdout.puts "\n\e[33m  Interrupted.\e[0m"
  nil
rescue Providers::ProviderError => e
  @channel.display_error("RailsConsoleAi Error: #{e.message}")
  nil
rescue => e
  @channel.display_error("RailsConsoleAi Error: #{e.class}: #{e.message}")
  nil
ensure
  RailsConsoleAi.configuration.timeout = original_timeout if original_timeout
end

#init_interactive ⇒ Object

— Interactive session management —



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# File 'lib/rails_console_ai/conversation_engine.rb', line 176

def init_interactive
  @interactive_start = Process.clock_gettime(Process::CLOCK_MONOTONIC)
  @executor.on_prompt = -> { log_interactive_turn }
  @history = []
  @total_input_tokens = 0
  @total_output_tokens = 0
  @token_usage = Hash.new { |h, k| h[k] = { input: 0, output: 0 } }
  @interactive_query = nil
  @interactive_session_id = nil
  @session_name = nil
  @last_interactive_code = nil
  @last_interactive_output = nil
  @last_interactive_result = nil
  @last_interactive_executed = false
  @compact_warned = false
  @prior_duration_ms = 0
end

#log_interactive_turn ⇒ Object

— Session logging —



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# File 'lib/rails_console_ai/conversation_engine.rb', line 558

def log_interactive_turn
  require 'rails_console_ai/session_logger'
  session_attrs = {
    conversation:  @history,
    input_tokens:  @total_input_tokens,
    output_tokens: @total_output_tokens,
    code_executed: @last_interactive_code,
    code_output:   @last_interactive_output,
    code_result:   @last_interactive_result,
    executed:      @last_interactive_executed,
    console_output: @channel.respond_to?(:console_capture_string) ? @channel.console_capture_string : nil
  }

  if @interactive_session_id
    SessionLogger.update(@interactive_session_id, session_attrs)
  else
    log_attrs = session_attrs.merge(
      query: @interactive_query || '(interactive session)',
      mode:  @slack_thread_ts ? 'slack' : 'interactive',
      name:  @session_name
    )
    log_attrs[:slack_thread_ts] = @slack_thread_ts if @slack_thread_ts
    log_attrs[:slack_channel_name] = @slack_channel_name if @slack_channel_name
    log_attrs[:model] = effective_model
    if @channel.user_identity
      log_attrs[:user_name] = @channel.mode == 'slack' ? "slack:#{@channel.user_identity}" : @channel.user_identity
    end
    @interactive_session_id = SessionLogger.log(log_attrs)
  end
end

#one_shot(query) ⇒ Object

— Public API for channels —



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# File 'lib/rails_console_ai/conversation_engine.rb', line 39

def one_shot(query)
  start_time = Process.clock_gettime(Process::CLOCK_MONOTONIC)
  console_capture = StringIO.new
  exec_result = with_console_capture(console_capture) do
    conversation = [{ role: :user, content: query }]
    exec_result, code, executed = one_shot_round(conversation)

    if executed && @executor.last_error && !@executor.last_safety_error
      error_msg = "Code execution failed with error: #{@executor.last_error}"
      error_msg = error_msg[0..1000] + '...' if error_msg.length > 1000
      conversation << { role: :assistant, content: @_last_result_text }
      conversation << { role: :user, content: error_msg }

      @channel.display_status("  Ran into an issue, trying a different approach...")
      exec_result, code, executed = one_shot_round(conversation)
    end

    @_last_log_attrs = {
      query: query,
      conversation: conversation,
      mode: 'one_shot',
      code_executed: code,
      code_output: executed ? @executor.last_output : nil,
      code_result: executed && exec_result ? exec_result.inspect : nil,
      executed: executed,
      start_time: start_time
    }

    exec_result
  end

  log_session(@_last_log_attrs.merge(console_output: console_capture.string))
  exec_result
rescue Providers::ProviderError => e
  @channel.display_error("RailsConsoleAi Error: #{e.message}")
  nil
rescue => e
  @channel.display_error("RailsConsoleAi Error: #{e.class}: #{e.message}")
  nil
end

#pop_last_message ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 217

def pop_last_message
  @history.pop
end

#process_message(text) ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 108

def process_message(text)
  # Initialize interactive state if not already set (first message in session)
  init_interactive unless @interactive_start
  @channel.log_input(text) if @channel.respond_to?(:log_input)
  @interactive_query ||= text
  @history << { role: :user, content: text }

  status = send_and_execute
  if status == :error
    @channel.display_status("  Ran into an issue, trying a different approach...")
    send_and_execute
  end
end

#restore_session(session) ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 194

def restore_session(session)
  @history = JSON.parse(session.conversation, symbolize_names: true)
  @interactive_session_id = session.id
  @interactive_query = session.query
  @session_name = session.name
  @total_input_tokens = session.input_tokens || 0
  @total_output_tokens = session.output_tokens || 0
  @prior_duration_ms = session.duration_ms || 0

  if session.model && (session.input_tokens.to_i > 0 || session.output_tokens.to_i > 0)
    @token_usage[session.model][:input] = session.input_tokens.to_i
    @token_usage[session.model][:output] = session.output_tokens.to_i
  end
end

#retry_last_code ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 229

def retry_last_code
  code = @last_interactive_code
  unless code
    @channel.display_warning("No code to retry.")
    return
  end
  @channel.display_status("  Retrying last code...")
  execute_direct(code)
end

#send_and_execute ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 265

def send_and_execute
  begin
    result, tool_messages, last_llm_stats = send_query(nil, conversation: @history)
  rescue Providers::ProviderError => e
    if e.message.include?("prompt is too long") && @history.length >= 6
      @channel.display_warning("  Context limit reached. Run /compact to reduce context size, then try again.")
    else
      @channel.display_error("RailsConsoleAi Error: #{e.class}: #{e.message}")
    end
    return :error
  rescue Interrupt
    $stdout.puts "\n\e[33m  Aborted.\e[0m"
    return :interrupted
  end

  track_usage(result)
  return :cancelled if @channel.cancelled?
  code = @executor.display_response(result.text)
  display_usage(result, show_session: true)

  log_interactive_turn

  @history.concat(tool_messages) if tool_messages && !tool_messages.empty?
  # Only add the final assistant text when the LLM gave a final response (end_turn).
  # For tool_use results, the assistant message is already in tool_messages via
  # format_assistant_message, so adding result.text again would duplicate it —
  # and if the text is empty, Bedrock rejects the empty content array.
  unless result.tool_use?
    entry = { role: :assistant, content: result.text }
    entry[:llm_stats] = last_llm_stats if last_llm_stats
    @history << entry
  end

  return :no_code unless code && !code.strip.empty?
  return :cancelled if @channel.cancelled?

  exec_result = if RailsConsoleAi.configuration.auto_execute
                  @executor.execute(code)
                else
                  @executor.confirm_and_execute(code)
                end

  unless @executor.last_cancelled?
    @last_interactive_code = code
    @last_interactive_output = @executor.last_output
    @last_interactive_result = exec_result ? exec_result.inspect : nil
    @last_interactive_executed = true
  end

  if @executor.last_cancelled?
    :cancelled
  elsif @executor.last_safety_error
    exec_result = @executor.offer_danger_retry(code)
    if exec_result || !@executor.last_error
      @last_interactive_code = code
      @last_interactive_output = @executor.last_output
      @last_interactive_result = exec_result ? exec_result.inspect : nil
      @last_interactive_executed = true

      output_parts = []
      if @executor.last_output && !@executor.last_output.strip.empty?
        output_parts << "Output:\n#{@executor.last_output.strip}"
      end
      output_parts << "Return value: #{exec_result.inspect}" if exec_result
      unless output_parts.empty?
        result_str = output_parts.join("\n\n")
        output_id = @executor.store_output(result_str)
        context_msg = "Code was executed (safety override). "
        if result_str.length > LARGE_OUTPUT_THRESHOLD
          context_msg += result_str[0, LARGE_OUTPUT_PREVIEW_CHARS]
          context_msg += "\n\n[Output truncated at #{LARGE_OUTPUT_PREVIEW_CHARS} of #{result_str.length} chars — use explore_output with output_id=#{output_id} for focused queries, or recall_output to expand in place]"
        else
          context_msg += result_str
        end
        @history << { role: :user, content: context_msg, output_id: output_id }
      end
      :success
    else
      :cancelled
    end
  elsif @executor.last_error
    error_msg = "Code execution failed with error: #{@executor.last_error}"
    error_msg = error_msg[0..1000] + '...' if error_msg.length > 1000
    @history << { role: :user, content: error_msg }
    :error
  else
    output_parts = []
    if @executor.last_output && !@executor.last_output.strip.empty?
      output_parts << "Output:\n#{@executor.last_output.strip}"
    end
    output_parts << "Return value: #{exec_result.inspect}" if exec_result

    unless output_parts.empty?
      result_str = output_parts.join("\n\n")
      output_id = @executor.store_output(result_str)
      context_msg = "Code was executed. "
      if result_str.length > LARGE_OUTPUT_THRESHOLD
        context_msg += result_str[0, LARGE_OUTPUT_PREVIEW_CHARS]
        context_msg += "\n\n[Output truncated at #{LARGE_OUTPUT_PREVIEW_CHARS} of #{result_str.length} chars — use explore_output with output_id=#{output_id} for focused queries, or recall_output to expand in place]"
      else
        context_msg += result_str
      end
      @history << { role: :user, content: context_msg, output_id: output_id }
    end

    :success
  end
end

#set_interactive_query(text) ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 209

def set_interactive_query(text)
  @interactive_query ||= text
end

#set_session_name(name) ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 221

def set_session_name(name)
  @session_name = name
  if @interactive_session_id
    require 'rails_console_ai/session_logger'
    SessionLogger.update(@interactive_session_id, name: name)
  end
end

#upgrade_to_thinking_model ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 453

def upgrade_to_thinking_model
  config = RailsConsoleAi.configuration
  current = effective_model
  thinking = config.resolved_thinking_model

  if current == thinking
    $stdout.puts "\e[36m  Already using thinking model (#{current}).\e[0m"
  else
    @model_override = thinking
    @provider = nil
    $stdout.puts "\e[36m  Switched to thinking model: #{thinking}\e[0m"
  end
  effective_model
end

#warn_if_history_large ⇒ Object 



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# File 'lib/rails_console_ai/conversation_engine.rb', line 547

def warn_if_history_large
  chars = @history.sum { |m| m[:content].to_s.length }

  if chars > 50_000 && !@compact_warned
    @compact_warned = true
    $stdout.puts "\e[33m  Conversation is getting large (~#{format_tokens(chars)} chars). Consider running /compact to reduce context size.\e[0m"
  end
end