The following example demonstrates how to generate an audio using the ElevenLabs tool with an agent. See Eleven Labs for more details.
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")

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