Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Send an audio file to a LiteLLM-backed agent and get a text description of its contents.
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, )
Set up your virtual environment
uv venv --python 3.12 source .venv/bin/activate
uv venv --python 3.12 .venv\Scripts\activate
Set your API key
export LITELLM_API_KEY=xxx
Install dependencies
uv pip install -U "litellm<=1.82.6" requests agno
Run Agent
audio_input_agent.py
python audio_input_agent.py
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