simple_response.py
"""
Simple Response Performance Evaluation
======================================
Demonstrates baseline response performance for a single prompt.
"""
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
# ---------------------------------------------------------------------------
# Create Benchmark Function
# ---------------------------------------------------------------------------
def run_agent():
agent = Agent(
model=OpenAIChat(id="gpt-5.2"),
system_message="Be concise, reply with one sentence.",
)
response = agent.run("What is the capital of France?")
print(f"Agent response: {response.content}")
return response
# ---------------------------------------------------------------------------
# Create Evaluation
# ---------------------------------------------------------------------------
simple_response_perf = PerformanceEval(
name="Simple Performance Evaluation",
func=run_agent,
num_iterations=1,
warmup_runs=0,
)
# ---------------------------------------------------------------------------
# Run Evaluation
# ---------------------------------------------------------------------------
if __name__ == "__main__":
simple_response_perf.run(print_results=True, print_summary=True)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno memory-profiler openai
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
simple_response.py, then run:python simple_response.py