> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Smolagents Instantiation Performance Evaluation

> Measure runtime and memory across 1,000 Smolagents ToolCallingAgent constructions per metric with PerformanceEval.

```python smolagents_instantiation.py theme={null}
"""
Smolagents Instantiation Performance Evaluation
===============================================

Demonstrates agent instantiation benchmarking with Smolagents.
"""

from agno.eval.performance import PerformanceEval
from smolagents import InferenceClientModel, Tool, ToolCallingAgent


# ---------------------------------------------------------------------------
# Create Benchmark Tool
# ---------------------------------------------------------------------------
class WeatherTool(Tool):
    name = "weather_tool"
    description = """
    This is a tool that tells the weather"""
    inputs = {
        "city": {
            "type": "string",
            "description": "The city to look up",
        }
    }
    output_type = "string"

    def forward(self, city: str):
        """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")


# ---------------------------------------------------------------------------
# Create Benchmark Function
# ---------------------------------------------------------------------------
def instantiate_agent():
    return ToolCallingAgent(
        tools=[WeatherTool()],
        model=InferenceClientModel(model_id="meta-llama/Llama-3.3-70B-Instruct"),
    )


# ---------------------------------------------------------------------------
# Create Evaluation
# ---------------------------------------------------------------------------
smolagents_instantiation = PerformanceEval(func=instantiate_agent, num_iterations=1000)

# ---------------------------------------------------------------------------
# Run Evaluation
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    smolagents_instantiation.run(print_results=True, print_summary=True)
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno smolagents
    ```
  </Step>

  <Step title="Run the example">
    Save the code above as `smolagents_instantiation.py`, then run:

    ```bash theme={null}
    python smolagents_instantiation.py
    ```
  </Step>
</Steps>

Full source: [cookbook/09\_evals/performance/comparison/smolagents\_instantiation.py](https://github.com/agno-agi/agno/blob/main/cookbook/09_evals/performance/comparison/smolagents_instantiation.py)