smallest_tools.py
"""
Smallest AI text-to-speech tools.
Requires the SMALLEST_API_KEY environment variable.
Get an API key at https://app.smallest.ai/dashboard (Developer -> API Keys).
Also requires GOOGLE_API_KEY for the agent's model. Use a model with audio input
support (Gemini here) so the agent can hear the audio it generates across multi-turn
conversations, instead of losing it after the first response.
Models:
- lightning_v3.1 (default): 12 languages, supports cloned voices
- lightning_v3.1_pro: premium voice pool, 29 languages
Language defaults to "en". For other language codes, see the model cards:
https://docs.smallest.ai/waves/model-cards/text-to-speech/lightning-v-3-1
https://docs.smallest.ai/waves/model-cards/text-to-speech/lightning-v-3-1-pro
"""
import base64
from textwrap import dedent
from agno.agent import Agent
from agno.models.google import Gemini
from agno.tools.smallest import SmallestTools
from agno.utils.media import save_base64_data
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
audio_agent = Agent(
model=Gemini(id="gemini-pro-latest"),
tools=[
SmallestTools(
voice_id="magnus",
model="lightning_v3.1",
)
],
description="You are an AI agent that can generate audio using the Smallest AI API.",
instructions=[
dedent(
"""
You have access to the Smallest AI toolkit:
- Use the `text_to_speech` tool to convert text into natural voice audio.
- Use the `get_voices` tool to list the available voices.
Keep the audio prompt as defined by the user.
"""
),
],
markdown=True,
)
# Premium voices: use the Lightning v3.1 Pro pool with a Pro voice
pro_audio_agent = Agent(
model=Gemini(id="gemini-pro-latest"),
tools=[
SmallestTools(
voice_id="meher",
model="lightning_v3.1_pro",
)
],
description="You are an AI agent that can generate premium audio using the Smallest AI API.",
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
response = audio_agent.run(
"Generate a short audio welcoming listeners to a podcast about the history of aviation.",
)
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/podcast_welcome.wav")
# response2 = pro_audio_agent.run("Generate a short audio narrating a movie trailer.")
# if response2.audio:
# print("Agent response:", response2.content)
# base64_audio = base64.b64encode(response2.audio[0].content).decode("utf-8")
# save_base64_data(base64_audio, "tmp/movie_trailer.wav")
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno google-genai
3
Export your API keys
export GOOGLE_API_KEY="your_google_api_key_here"
export SMALLEST_API_KEY="your_smallest_api_key_here"
$Env:GOOGLE_API_KEY="your_google_api_key_here"
$Env:SMALLEST_API_KEY="your_smallest_api_key_here"
4
Run the example
Save the code above as
smallest_tools.py, then run:python smallest_tools.py