> ## Documentation Index
> Fetch the complete documentation index at: https://docs.zeroruntime.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# LMNT

> Use the LMNT text-to-speech plugin in a Zero Runtime pipeline.

LMNT is a **text-to-speech** plugin. It turns the LLM's reply into audio the caller
hears.

## Setup

Set your LMNT API key in the worker environment. Generate a key from the [LMNT dashboard](https://app.lmnt.com/account):

```bash theme={null}
export LMNT_API_KEY=<key>
```

## Usage

Import the plugin and pass it to the pipeline's `tts` slot.

```python theme={null}
from zrt.plugins import LMNTTTS

tts = LMNTTTS()

# Pipeline(tts=tts, ...)
```

## Parameters

| Parameter     | Type          | Default      | Description                                                                                                                                  |
| ------------- | ------------- | ------------ | -------------------------------------------------------------------------------------------------------------------------------------------- |
| `api_key`     | `str \| None` | `None`       | LMNT API key. Falls back to the `LMNT_API_KEY` environment variable when unset.                                                              |
| `voice`       | `str`         | `"ava"`      | Voice ID to use for synthesis. LMNT provides a library of pre-built voices (e.g. `"ava"`) as well as cloned voices identified by their UUID. |
| `model`       | `str`         | `"blizzard"` | TTS model identifier. `"blizzard"` is the production flagship (Blizzard 2.0); `"aurora"` is an alias that routes to Blizzard.                |
| `sample_rate` | `int`         | `24000`      | Desired output sample rate in Hz.                                                                                                            |

Spoken replies support interruptions. When the caller talks over the agent, the runtime
stops the audio and listens again. See the [plugins overview](/plugins/overview) for how TTS fits into the rest of the pipeline.