> ## Documentation Index
> Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Performance on Agent Instantiation with Tool

> Example showing how to analyze the runtime and memory usage of an Agent that is using tools.

## Code

```python theme={null}
"""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"
    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)
```