运行时 · 状态机 · 核心流程

def run_conversation(self, user_message):
  # INIT
  messages = self.prompt_builder.build(user_message) # 注入 skills/memory
  iterations = 0

  # LOOP
  while iterations < self.max_iterations and budget.remaining > 0:
    # LLM CALL
    response = self.transport.send_message(messages, tools) # 流式

    if response.tool_calls:
      # TOOL DISPATCH — 并发执行
      results = execute_tool_calls_concurrent(response.tool_calls)
      messages.append(results)
      iterations += 1
    else:
      # DONE — 最终回复
      self._post_conversation() # 压缩检查 + 记忆写入 + 持久化
      return response.content