> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Audio Input Agent

> Send an audio file to a LiteLLM-backed agent and get a text description of its contents.

## Code

```python audio_input_agent.py theme={null}
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

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

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "litellm<=1.82.6" requests agno
    ```
  </Step>

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

    ```bash theme={null}
    python audio_input_agent.py
    ```
  </Step>
</Steps>