Example showing how to analyze the runtime and memory usage of an Agent that is using tools.
"""Run `pip install agno openai memory_profiler` to install dependencies."""
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"]):
"""Use this to get weather information."""
if city == "nyc":
return "It might be cloudy in nyc"
elif city == "sf":
return "It's always sunny in sf"
tools = [get_weather]
def instantiate_agent():
return Agent(model=OpenAIChat(id="gpt-5-mini"), tools=tools) # type: ignore
instantiation_perf = PerformanceEval(
name="Tool Instantiation Performance", func=instantiate_agent, num_iterations=1000
)
if __name__ == "__main__":
instantiation_perf.run(print_results=True, print_summary=True)