audio_input_agent.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your LiteLLM API key
4
Run the example
Save the code above as
audio_input_agent.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Pass an MP3 file as audio input to a gpt-audio model routed through LiteLLM.
"""
Litellm Audio Input Agent
=========================
Cookbook example for `litellm/audio_input_agent.py`.
"""
import requests
from agno.agent import Agent
from agno.media import Audio
from agno.models.litellm import LiteLLM
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
# 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,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno litellm requests
Export your LiteLLM API key
export LITELLM_API_KEY="your_litellm_api_key_here"
$Env:LITELLM_API_KEY="your_litellm_api_key_here"
Run the example
audio_input_agent.py, then run:python audio_input_agent.py
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