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-5-mini-audio-preview agent = Agent( model=LiteLLM(id="gpt-5-mini-audio-preview"), markdown=True, ) agent.print_response( "What's the audio about?", audio=[Audio(content=mp3_data, format="mp3")], stream=True, )
Create a virtual environment
Terminal
python3 -m venv .venv source .venv/bin/activate
Set your API key
export LITELLM_API_KEY=xxx
Install libraries
pip install -U litellm agno
Run Agent
python cookbook/models/litellm/audio_input_agent.py