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"""
Agent-with-Tool Instantiation Performance Evaluation
====================================================
Demonstrates measuring instantiation performance for a tooled agent.
"""
from typing import Literal
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
# ---------------------------------------------------------------------------
# Create Benchmark Tool
# ---------------------------------------------------------------------------
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]
# ---------------------------------------------------------------------------
# Create Benchmark Function
# ---------------------------------------------------------------------------
def instantiate_agent():
return Agent(model=OpenAIChat(id="gpt-4o"), tools=tools) # type: ignore
# ---------------------------------------------------------------------------
# Create Evaluation
# ---------------------------------------------------------------------------
instantiation_perf = PerformanceEval(
name="Agent Instantiation", func=instantiate_agent, num_iterations=1000
)
# ---------------------------------------------------------------------------
# Run Evaluation
# ---------------------------------------------------------------------------
if __name__ == "__main__":
instantiation_perf.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
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
python instantiate_agent_with_tool.py