微光AI助手核心技术全景解析：从概念到代码实战（2026年4月9日）

 传统方式：硬编码规则匹配
def handle_user_request(user_input):
    if "天气" in user_input:
        return get_weather()
    elif "日程" in user_input:
        return get_schedule()
    elif "提醒" in user_input:
        return set_reminder()
    else:
        return "我不理解您的请求"

 Workflow定义：任务分解与路由
class WorkflowEngine:
    def __init__(self):
        self.steps = ["意图识别", "任务拆解", "工具调用", "结果聚合"]
    
    def execute(self, user_input):
         步骤1：意图识别
        intent = self.recognize_intent(user_input)
         步骤2：任务拆解
        sub_tasks = self.decompose(intent)
         步骤3：工具调用
        results = [self.call_tool(task) for task in sub_tasks]
         步骤4：结果聚合
        return self.aggregate(results)

 极简AI助手核心实现（Agent + Workflow）
from typing import Dict, List
import json

class MinimalAIAssistant:
    """极简AI助手——融合Agent决策与Workflow执行"""
    
    def __init__(self):
         工具注册表（可扩展的工具集合）
        self.tools = {
            "query_weather": self.query_weather,
            "manage_schedule": self.manage_schedule,
            "send_reminder": self.send_reminder
        }
         Workflow步骤模板
        self.workflows = {
            "travel": ["query_weather", "manage_schedule"],
            "daily": ["manage_schedule", "send_reminder"]
        }
    
     ---------- Agent决策层 ----------
    def perceive(self, user_input: str) -> Dict:
        """感知用户意图（模拟LLM判断）"""
        if "天气" in user_input and "出行" in user_input:
            return {"intent": "travel", "entities": {"location": "北京"}}
        elif "日程" in user_input:
            return {"intent": "daily", "entities": {}}
        else:
            return {"intent": "unknown", "entities": {}}
    
    def decide(self, perception: Dict) -> str:
        """自主决策选择执行路径"""
        return perception.get("intent", "unknown")
    
     ---------- Workflow执行层 ----------
    def execute_workflow(self, workflow_name: str, context: Dict) -> List:
        """按预定义Workflow顺序执行任务"""
        results = []
        if workflow_name not in self.workflows:
            return [{"error": "未识别的意图"}]
        
        for step in self.workflows[workflow_name]:
            if step in self.tools:
                result = self.tools[step](context)
                results.append(result)
        return results
    
     ---------- 工具实现（模拟外部调用）----------
    def query_weather(self, context: Dict) -> str:
        return f"北京天气：晴，25℃"
    
    def manage_schedule(self, context: Dict) -> str:
        return "日程已同步：明日10:00团队会议"
    
    def send_reminder(self, context: Dict) -> str:
        return "提醒已发送：记得带电脑"
    
     ---------- 对外入口 ----------
    def handle(self, user_input: str) -> str:
         Agent决策流程
        perception = self.perceive(user_input)
        intent = self.decide(perception)
         Workflow执行流程
        results = self.execute_workflow(intent, perception.get("entities", {}))
        return json.dumps(results, ensure_ascii=False)


 运行示例
assistant = MinimalAIAssistant()
print(assistant.handle("帮我查北京天气，顺便安排出行日程"))
 输出：["北京天气：晴，25℃", "日程已同步：明日10:00团队会议"]