> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Smallest AI text-to-speech tools

> Requires the SMALLEST_API_KEY environment variable.

Requires the SMALLEST\_API\_KEY environment variable. Get an API key at [https://app.smallest.ai/dashboard](https://app.smallest.ai/dashboard) (Developer -> API Keys).

```python smallest_tools.py theme={null}
"""
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

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno google-genai
```

**2. Export your API keys**

```bash Mac/Linux theme={null}
export GOOGLE_API_KEY="your_google_api_key_here"
export SMALLEST_API_KEY="your_smallest_api_key_here"
```

```bash Windows theme={null}
$Env:GOOGLE_API_KEY="your_google_api_key_here"
$Env:SMALLEST_API_KEY="your_smallest_api_key_here"
```

**3. Run the example**

Save the code above as `smallest_tools.py`, then run:

```bash theme={null}
python smallest_tools.py
```

Full source: [cookbook/91\_tools/smallest\_tools.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/91_tools/smallest_tools.py)


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