# Audio Input Agent (/models/providers/gateways/litellm/usage/audio-input-agent)



## Code [#code]

```python audio_input_agent.py
import requests
from agno.agent import Agent
from agno.media import Audio
from agno.models.litellm import LiteLLM

# Fetch the QA audio file and convert it to a base64 encoded string
url = "https://agno-public.s3.us-east-1.amazonaws.com/demo_data/QA-01.mp3"
response = requests.get(url)
response.raise_for_status()
mp3_data = response.content

# Audio input requires specific audio-enabled models like gpt-audio
agent = Agent(
    model=LiteLLM(id="gpt-audio"),
    markdown=True,
)
agent.print_response(
    "What's the audio about?",
    audio=[Audio(content=mp3_data, format="mp3")],
    stream=True,
)

```

## Usage [#usage]

<Steps>
    <Step title="Set up your virtual environment">
      <CodeBlockTabs defaultValue="Mac">
        <CodeBlockTabsList>
          <CodeBlockTabsTrigger value="Mac">
            Mac
          </CodeBlockTabsTrigger>

          <CodeBlockTabsTrigger value="Windows">
            Windows
          </CodeBlockTabsTrigger>
        </CodeBlockTabsList>

        <CodeBlockTab value="Mac">
          ```bash
          uv venv --python 3.12
          source .venv/bin/activate
          ```
        </CodeBlockTab>

        <CodeBlockTab value="Windows">
          ```bash
          uv venv --python 3.12
          .venv\Scripts\activate
          ```
        </CodeBlockTab>
      </CodeBlockTabs>
    </Step>

  <Step title="Set your API key">
    ```bash
    export LITELLM_API_KEY=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash
    uv pip install -U "litellm>=1.83.0" requests agno
    ```
  </Step>

  <Step title="Run Agent">
    Save the code above as `audio_input_agent.py`, then run:

    ```bash
    python audio_input_agent.py
    ```
  </Step>
</Steps>