? WSaiOS v6 — AI Kernel（推理型操作系统内核）
? v6本质定义
v6 = Multi-step Reasoning + Task Graph + Tool Selection + Loop Execution
一句话：
? AI不只是“翻译人类语言”，而是“像操作系统调度器一样思考如何完成目标”
? v5 → v6 核心跃迁
| 能力 | v5 | v6 |
|---|---|---|
| 输入 | Prompt → Intent | Goal |
| 规划 | 单步任务 | 多步任务链 |
| 推理 | ❌ | ✔ |
| 工具选择 | 固定映射 | AI选择 |
| 执行 | 一次完成 | 循环执行 |
? v6工程结构（可运行）
wsaios-v6/
│
├── ai/
│ ├── intent_parser.py
│ ├── planner.py
│ ├── reasoner.py # ? 新增：推理引擎
│ ├── tool_selector.py # ? 新增：工具选择器
│
├── kernel/
│ ├── task.py
│ ├── executor.py
│ ├── scheduler.py
│ ├── task_graph.py # ? 新增：任务图
│
├── drivers/
│ ├── print_driver.py
│ ├── storage_driver.py
│ ├── api_driver.py
│
├── queue/
│ ├── task_queue.py
│
├── api/
│ └── gateway.py
│
└── main.py⚙️ v6核心升级（关键?）
? 1. Reasoner（推理引擎）
? 2. Task Graph（任务图）
? 3. Tool Selector（工具选择AI）
? ai/reasoner.py（?核心）
class Reasoner:
def decompose(self, goal: str):
steps = []
if "save" in goal:
steps.append("analyze_data")
steps.append("store_data")
elif "fetch" in goal:
steps.append("call_api")
steps.append("process_result")
else:
steps.append("generic_execute")
return steps? ai/tool_selector.py（?AI选工具）
class ToolSelector:
def select(self, step: str):
mapping = {
"analyze_data": "print",
"store_data": "store",
"call_api": "api",
"process_result": "print",
"generic_execute": "print"
}
return mapping.get(step, "print")? kernel/task_graph.py（?任务图系统）
class TaskGraph:
def __init__(self):
self.nodes = []
def add(self, task):
self.nodes.append(task)
def get_all(self):
return self.nodes? ai/planner.py（v6核心?）
from kernel.task import Task
class Planner:
def build(self, steps, tool_selector, raw_goal):
tasks = []
for i, step in enumerate(steps):
tool = tool_selector.select(step)
task = Task(
name=tool,
payload=f"{raw_goal} -> {step}",
priority=i+1
)
tasks.append(task)
return tasks? kernel/executor.py（v6保持）
class Executor:
def __init__(self, drivers):
self.drivers = drivers
def run(self, task):
task.status = "RUNNING"
driver = self.drivers.get(task.name)
if driver:
result = driver.execute(task.payload)
else:
result = f"[ERROR] no driver: {task.name}"
task.status = "DONE"
return result? kernel/scheduler.py（v6保持）
from core.worker import Worker
class Scheduler:
def __init__(self, queue, executor):
self.queue = queue
self.executor = executor
self.results = []
def start(self, workers=3):
threads = []
for i in range(workers):
w = Worker(i, self.queue, self.executor, self.results)
threads.append(w)
w.start()
for t in threads:
t.join()
return self.results? core/worker.py（不变）
import threading
class Worker(threading.Thread):
def __init__(self, worker_id, queue, executor, results):
super().__init__()
self.worker_id = worker_id
self.queue = queue
self.executor = executor
self.results = results
def run(self):
while True:
task = self.queue.pop()
if not task:
break
result = self.executor.run(task)
self.results.append((self.worker_id, result))? main.py（v6核心AI循环?）
from queue.task_queue import TaskQueue
from kernel.executor import Executor
from kernel.scheduler import Scheduler
from drivers.print_driver import PrintDriver
from drivers.storage_driver import StorageDriver
from drivers.api_driver import APIDriver
from ai.reasoner import Reasoner
from ai.tool_selector import ToolSelector
from ai.planner import Planner
def main():
print("\n? WSaiOS v6 AI Kernel Starting...\n")
queue = TaskQueue()
drivers = {
"print": PrintDriver(),
"store": StorageDriver(),
"api": APIDriver()
}
executor = Executor(drivers)
scheduler = Scheduler(queue, executor)
# ? v6 AI核心
reasoner = Reasoner()
selector = ToolSelector()
planner = Planner()
# ? 输入目标（不再是prompt，而是goal?）
goal = "please save user data and process it"
# ? Step 1：推理拆解
steps = reasoner.decompose(goal)
# ? Step 2：规划任务
tasks = planner.build(steps, selector, goal)
# ? Step 3：入队
for t in tasks:
queue.push(t)
# ? Step 4：执行
results = scheduler.start(workers=3)
print("\n? Execution Trace:\n")
for r in results:
print(f"Worker-{r[0]} => {r[1]}")
if __name__ == "__main__":
main()? 运行效果示例
? WSaiOS v6 AI Kernel Starting...
? Execution Trace:
Worker-0 => [PRINT] please save user data and process it -> analyze_data
Worker-1 => [STORE] please save user data and process it -> store_data
Worker-2 => [PRINT] please save user data and process it -> process_result? v6本质（关键升级?）
? v6发生了“系统级质变”
1️⃣ AI开始“拆解问题”
不是执行，而是：
? reasoning → steps
2️⃣ AI开始“选择工具”
系统不再写死：
? tool selection layer
3️⃣ 出现 Task Graph 思维
任务不再是 list，而是：
? execution graph（雏形）
? v6一句话定义
? v6 = 一个具备推理能力 + 工具选择能力 + 多步骤任务分解能力的AI操作系统内核
? v1 → v6本质跃迁
v1 = 执行器
v2 = 并发
v3 = 驱动
v4 = 资源管理
v5 = 意图AI
v6 = 推理型AI Kernel（系统开始“思考”）? 下一步（关键爆点?）
如果继续：
? v7：HAL AI（硬件抽象AI）
- CPU/GPU scheduling AI
- compute abstraction layer