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

# Team Instantiation Performance Evaluation

> Demonstrates measuring team instantiation performance.

```python theme={null}
"""
Team Instantiation Performance Evaluation
=========================================

Demonstrates measuring team instantiation performance.
"""

from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
from agno.team.team import Team

# ---------------------------------------------------------------------------
# Create Team Member
# ---------------------------------------------------------------------------
team_member = Agent(model=OpenAIChat(id="gpt-4o"))


# ---------------------------------------------------------------------------
# Create Benchmark Function
# ---------------------------------------------------------------------------
def instantiate_team():
    return Team(members=[team_member])


# ---------------------------------------------------------------------------
# Create Evaluation
# ---------------------------------------------------------------------------
instantiation_perf = PerformanceEval(
    name="Instantiation Performance Team", func=instantiate_team, num_iterations=1000
)

# ---------------------------------------------------------------------------
# Run Evaluation
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    instantiation_perf.run(print_results=True, print_summary=True)
```

## Run the Example

```bash theme={null}
# 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_team.py
```