> ## 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.

# Streaming

> Stream an OpenRouter Responses agent's output with print_response(stream=True).

```python stream.py theme={null}
"""Streaming example using OpenRouter with the Responses API.

Requirements:
- Set OPENROUTER_API_KEY environment variable
"""

from agno.agent import Agent
from agno.models.openrouter import OpenRouterResponses

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=OpenRouterResponses(id="openai/gpt-oss-20b", reasoning={"enabled": True}),
    markdown=True,
)

# Stream the response
agent.print_response("Write a short poem about the moon", stream=True)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass
```

## Run the Example

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

**1. Install dependencies**

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

**2. Export your OpenRouter API key**

```bash Mac/Linux theme={null}
export OPENROUTER_API_KEY="your_openrouter_api_key_here"
```

```bash Windows theme={null}
$Env:OPENROUTER_API_KEY="your_openrouter_api_key_here"
```

**3. Run the example**

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

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

Full source: [cookbook/90\_models/openrouter/responses/stream.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/openrouter/responses/stream.py)


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