> ## 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 Agent

> Stream a LiteLLM proxy agent's response with stream=True.

Make sure to start the proxy server:

```shell theme={null}
litellm --model gpt-4o --host 127.0.0.1 --port 4000
```

## Code

```python basic.py theme={null}
from agno.agent import Agent
from agno.models.litellm import LiteLLMOpenAI

agent = Agent(model=LiteLLMOpenAI(id="gpt-4o"), markdown=True)

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 LITELLM_API_KEY=xxx
```

**2. Install dependencies**

```bash theme={null}
uv pip install -U 'litellm[proxy]' openai agno
```

**3. Start the proxy server**

```bash theme={null}
litellm --model gpt-4o --host 127.0.0.1 --port 4000
```

**4. Run Agent**

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

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


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.