> ## 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.

# Response As Variable

> Capture agent responses as variables for downstream use.

Response As Variable.

```python theme={null}
"""
Response As Variable
=============================

Response As Variable.
"""

from typing import Iterator  # noqa
from rich.pretty import pprint
from agno.agent import Agent, RunOutput
from agno.models.openai import OpenAIResponses
from agno.tools.yfinance import YFinanceTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[YFinanceTools()],
    instructions=["Use tables where possible"],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    run_response: RunOutput = agent.run("What is the stock price of NVDA")
    pprint(run_response)

    # run_response_strem: Iterator[RunOutputEvent] = agent.run("What is the stock price of NVDA", stream=True)
    # for response in run_response_strem:
    #     pprint(response)
```

## Run the Example

```bash theme={null}
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/02_agents/02_input_output

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python response_as_variable.py
```