? WSaiOS v5 — AI OS雏形（AI Kernel First Layer）
? WSaiOS v5 — AI OS雏形（AI Kernel First Layer）
? v5本质
v5 = Prompt / Intent → Task Graph → Scheduler 执行
系统第一次出现：
- ? AI理解输入
- ? 自动拆任务
- ? 自动选择driver
- ? 自动调度执行
? v4 → v5 核心跃迁
| 层级 | v4 | v5 |
|---|---|---|
| 输入 | Task | Prompt / 意图 |
| 核心 | Resource OS | AI Kernel OS |
| 调度 | 手动任务 | AI生成任务 |
| 智能 | ❌ | ? |
? v5工程结构（可运行）
wsaios-v5/
│
├── ai/
│ ├── intent_parser.py
│ ├── task_planner.py
│
├── kernel/
│ ├── task.py
│ ├── executor.py
│ ├── scheduler.py
│
├── drivers/
│ ├── print_driver.py
│ ├── storage_driver.py
│ ├── api_driver.py
│
├── resource/
│ ├── resource_model.py
│
├── queue/
│ ├── task_queue.py
│
├── api/
│ └── gateway.py
│
└── main.py⚙️ v5核心升级点（关键?）
新增两个AI层：
? 1. Intent Parser（意图解析）
把自然语言 → 结构化目标
? 2. Task Planner（任务规划）
把目标 → 可执行任务链
? ai/intent_parser.py
class IntentParser:
def parse(self, prompt: str):
if "save" in prompt or "store" in prompt:
return {"intent": "storage"}
if "print" in prompt or "show" in prompt:
return {"intent": "print"}
if "api" in prompt or "fetch" in prompt:
return {"intent": "api"}
return {"intent": "unknown"}? ai/task_planner.py（?核心）
from kernel.task import Task
class TaskPlanner:
def plan(self, intent_result, prompt):
intent = intent_result["intent"]
if intent == "print":
return [
Task("print", prompt, priority=1)
]
if intent == "storage":
return [
Task("store", prompt, priority=2)
]
if intent == "api":
return [
Task("api", prompt, priority=3)
]
return [
Task("print", f"[UNKNOWN INTENT] {prompt}", priority=5)
]? kernel/executor.py（v4延续）
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 for {task.name}"
task.status = "DONE"
return result? kernel/scheduler.py（v4延续）
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
import threading
class Worker(threading.Thread):
def __init__(self, worker_id, queue, executor, results):
super().__init__()
self.queue = queue
self.executor = executor
self.results = results
self.worker_id = worker_id
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))? api/gateway.py（v5升级?）
class Gateway:
def receive_prompt(self, prompt: str):
return prompt? main.py（?v5核心AI入口）
from queue.task_queue import TaskQueue
from kernel.executor import Executor
from kernel.scheduler import Scheduler
from api.gateway import Gateway
from drivers.print_driver import PrintDriver
from drivers.storage_driver import StorageDriver
from drivers.api_driver import APIDriver
from ai.intent_parser import IntentParser
from ai.task_planner import TaskPlanner
def main():
print("\n? WSaiOS v5 AI OS Kernel Starting...\n")
gateway = Gateway()
# ? AI模块
parser = IntentParser()
planner = TaskPlanner()
queue = TaskQueue()
drivers = {
"print": PrintDriver(),
"store": StorageDriver(),
"api": APIDriver()
}
executor = Executor(drivers)
scheduler = Scheduler(queue, executor)
# ? 用户输入（关键变化?）
prompt = "please save this user data"
# ? AI理解
intent = parser.parse(prompt)
# ? AI规划任务
tasks = planner.plan(intent, prompt)
# ? 入队
for t in tasks:
queue.push(t)
# ? 执行
results = scheduler.start(workers=2)
print("\n? Results:\n")
for r in results:
print(f"Worker-{r[0]} => {r[1]}")
if __name__ == "__main__":
main()? 运行效果示例
? WSaiOS v5 AI OS Kernel Starting...
? Results:
Worker-0 => [STORE] please save this user data? v5本质（非常关键）
? v5第一次引入“AI作为系统入口”
系统发生三大变化：
1️⃣ Input 从 Task → Prompt
系统不再直接接任务，而是：
? 人类语言
2️⃣ AI开始做“任务生成”
- intent parsing
- task planning
3️⃣ OS开始“理解用户意图”
不是执行命令，而是：
? 理解 → 拆解 → 执行
? v5一句话定义
? v5 = 一个能够将自然语言意图自动转换为任务并执行的AI操作系统雏形
? v1 → v5本质跃迁
v1 = 执行器
v2 = 并发系统
v3 = 驱动系统
v4 = 资源管理
v5 = AI OS雏形（意图驱动系统）? 下一步（关键拐点?）
如果继续：
? v6：AI Kernel（真正OS级AI调度）
- multi-step planning
- tool selection AI
- reasoning loop