audio_input_agent.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI 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.
Send a WAV file fetched from a URL to gpt-audio and stream a text answer about it.
"""
Openai Audio Input Agent
========================
Cookbook example for `openai/chat/audio_input_agent.py`.
"""
import requests
from agno.agent import Agent, RunOutput # noqa
from agno.media import Audio
from agno.models.openai import OpenAIChat
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
# Fetch the audio file and convert it to a base64 encoded string
url = "https://openaiassets.blob.core.windows.net/$web/API/docs/audio/alloy.wav"
response = requests.get(url)
response.raise_for_status()
wav_data = response.content
# Provide the agent with the audio file and get result as text
agent = Agent(
model=OpenAIChat(id="gpt-audio", modalities=["text"]),
markdown=True,
)
agent.print_response(
"What is in this audio?", audio=[Audio(content=wav_data, format="wav")], 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 openai requests
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
audio_input_agent.py, then run:python audio_input_agent.py
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