该示例展示了如何分析使用工具的代理的运行时和内存使用情况。
"""运行 `pip install agno openai memory_profiler` 来安装依赖。"""
from typing import Literal
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
def get_weather(city: Literal["nyc", "sf"]):
"""使用此函数获取天气信息。"""
if city == "nyc":
return "It might be cloudy in nyc"
elif city == "sf":
return "It's always sunny in sf"
else:
raise AssertionError("Unknown city")
tools = [get_weather]
def instantiate_agent():
return Agent(model=OpenAIChat(id="gpt-4o"), tools=tools)
instantiation_perf = PerformanceEval(func=instantiate_agent, num_iterations=1000)
if __name__ == "__main__":
instantiation_perf.run(print_results=True, print_summary=True)