> ## 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 Streaming

> Stream responses from an Azure AI Foundry agent.

## Code

```python basic_stream.py theme={null}
from typing import Iterator  # noqa

from agno.agent import Agent, RunOutputEvent  # noqa
from agno.models.azure import AzureAIFoundry

agent = Agent(
    model=AzureAIFoundry(id="Phi-4"),
    markdown=True,
)

# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence horror story", stream=True)
# for chunk in run_response:
#     print(chunk.content)

# Print the response on the terminal
agent.print_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 AZURE_API_KEY=xxx
export AZURE_ENDPOINT=xxx
```

**2. Install dependencies**

```bash theme={null}
uv pip install -U azure-ai-inference aiohttp agno
```

**3. Run Agent**

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


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