> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Simple Response Performance Evaluation

> Measure baseline response latency for a single GPT-5.2 prompt.

```python simple_response.py theme={null}
"""
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

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno memory-profiler openai
```

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

Save the code above as `simple_response.py`, then run:

```bash theme={null}
python simple_response.py
```

Full source: [cookbook/09\_evals/performance/simple\_response.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/09_evals/performance/simple_response.py)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.