> ## 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.

# Basic Agent

> Run a Requesty agent in sync, async, and streaming modes.

## Code

```python basic.py theme={null}
import asyncio

from agno.agent import Agent, RunOutput  # noqa
from agno.models.requesty import Requesty

agent = Agent(
    model=Requesty(
        id="openai/gpt-4o",
    ),
    markdown=True,
)

# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)

if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("Share a 2 sentence horror story")

    # --- Sync + Streaming ---
    agent.print_response("Share a 2 sentence horror story", stream=True)

    # --- Async ---
    asyncio.run(agent.aprint_response("Share a 2 sentence horror story"))

    # --- Async + Streaming ---
    asyncio.run(agent.aprint_response("Share a 2 sentence horror story", stream=True))
```

## Usage

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

**1. Set your API key**

```bash theme={null}
export REQUESTY_API_KEY=xxx
```

**2. Install dependencies**

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

**3. Run Agent**

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

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


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