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"""
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
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# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/09_evals/performance/comparison
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
python smolagents_instantiation.py