智能体
多智能体系统
VeADK 充分支持多智能体协作
使用 VeADK 可以构建多 Agent 协作， 主 Agent 通过 sub_agents 机制协调多个子 Agent 完成复杂任务。以下代码示例分别定义了三个 Agent：
- weather_reporter：负责获取指定城市的天气信息（调用了
get_city_weather工具）。 - suggester：根据天气情况给出穿衣建议。
- planner_agent：作为“调度员”，先调用
weather_reporter获取天气，再调用suggester获取建议，最后将结果整合返回给用户。
该多智能体协作能更好的满足用户的需求。
from veadk import Agent, Runner
from veadk.memory.short_term_memory import ShortTermMemory
from veadk.tools.demo_tools import get_city_weather
session_id = "..."
prompt = "..."
# 定义三个智能体，分别为天气预报智能体、穿衣建议智能体以及一个Planner智能体
weather_reporter = Agent(
name="weather_reporter",
description="A weather reporter agent to report the weather.",
tools=[get_city_weather],
)
suggester = Agent(
name="suggester",
description="A suggester agent that can give some clothing suggestions according to a city's weather.",
)
planner_agent = Agent(
name="planner",
description="A planner that can generate a suggestion according to a city's weather.",
instruction="Invoke weather reporter agent first to get the weather, then invoke suggester agent to get the suggestion. Return the final response to user.",
sub_agents=[weather_reporter, suggester],
)
runner = Runner(agent=planner_agent, short_term_memory=ShortTermMemory())
response = await runner.run(messages=prompt, session_id=session_id)