audio_agent.py
import base64
from agno.agent import Agent
from agno.models.google import Gemini
from agno.tools.eleven_labs import ElevenLabsTools
from agno.utils.media import save_base64_data
audio_agent = Agent(
model=Gemini(id="gemini-2.5-pro"),
tools=[
ElevenLabsTools(
voice_id="21m00Tcm4TlvDq8ikWAM",
model_id="eleven_multilingual_v2",
target_directory="audio_generations",
)
],
description="You are an AI agent that can generate audio using the ElevenLabs API.",
instructions=[
"When the user asks you to generate audio, use the `generate_audio` tool to generate the audio.",
"You'll generate the appropriate prompt to send to the tool to generate audio.",
"You don't need to find the appropriate voice first, I already specified the voice to user."
"Return the audio file name in your response. Don't convert it to markdown.",
"The audio should be long and detailed.",
],
markdown=True,
)
response = audio_agent.run(
"Generate a very long audio of history of french revolution and tell me which subject it belongs to.",
debug_mode=True,
)
if response.audio:
print("Agent response:", response.content)
base64_audio = base64.b64encode(response.audio[0].content).decode("utf-8")
save_base64_data(base64_audio, "tmp/french_revolution.mp3")
print("Successfully saved generated speech to tmp/french_revolution.mp3")
audio_agent.print_response("Generate a kick sound effect")
Developer Resources
- See the Music Generation example.