> ## 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.

# Cache Team Response

> Cache team leader and member responses in two layers.

Demonstrates two-layer caching for team leader and member responses.

```python caching.py theme={null}
"""
Cache Team Response
=============================

Demonstrates two-layer caching for team leader and member responses.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team import Team

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
researcher = Agent(
    name="Researcher",
    role="Research and gather information",
    model=OpenAIResponses(id="gpt-5.2", cache_response=True),
)

writer = Agent(
    name="Writer",
    role="Write clear and engaging content",
    model=OpenAIResponses(id="gpt-5.2", cache_response=True),
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
content_team = Team(
    members=[researcher, writer],
    model=OpenAIResponses(id="gpt-5.2", cache_response=True),
    markdown=True,
    debug_mode=True,
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    content_team.print_response(
        "Write a very very very explanation of caching in software"
    )
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```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"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `caching.py`, then run:

    ```bash theme={null}
    python caching.py
    ```
  </Step>
</Steps>

Full source: [cookbook/03\_teams/01\_quickstart/09\_caching.py](https://github.com/agno-agi/agno/blob/main/cookbook/03_teams/01_quickstart/09_caching.py)