1
Create a Python file
performance_agent_instantiation.py
2
Set up your virtual environment
3
Install dependencies
4
Export your OpenAI API key
5
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Example showing how to analyze the runtime and memory usage of an Agent.
Create a Python file
"""Run `uv pip install agno openai` to install dependencies."""
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
def instantiate_agent():
return Agent(system_message="Be concise, reply with one sentence.")
instantiation_perf = PerformanceEval(
name="Instantiation Performance", func=instantiate_agent, num_iterations=1000
)
if __name__ == "__main__":
instantiation_perf.run(print_results=True, print_summary=True)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U openai agno
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run Agent
python performance_agent_instantiation.py
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