Hume AI

Hume AI is a text-to-speech plugin. It turns the LLM’s reply into expressive, emotion-aware audio the caller hears.

Setup

Set your Hume AI API key in the worker environment. Generate a key from the Hume AI dashboard:

export HUMEAI_API_KEY=<key>

Usage

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

from zrt.plugins import HumeAITTS

tts = HumeAITTS()

# Pipeline(tts=tts, ...)

Parameters

Parameter	Type	Default	Description
`api_key`	`str`	`None`	Hume AI API key. Falls back to the `HUMEAI_API_KEY` environment variable when unset.
`voice`	`str`	`"Serene Assistant"`	Voice name or UUID. Can be a name from Hume’s built-in voice library (e.g. `"Serene Assistant"`, `"Male English Actor"`), the name of a custom saved voice, or a UUID string.
`speed`	`float`	`1.0`	Speaking speed multiplier on a non-linear scale from `0.5` (much slower) to `2.0` (much faster), where `1.0` is normal pace.
`sample_rate`	`int`	`24000`	Advertised output sample rate in Hz. Hume AI’s API always returns audio at 48 kHz regardless of this value.

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

Inworld AI Groq

Plugins

Inference Gateway

Speech-to-text

LLM

Text-to-speech

Realtime models

Avatars

Turn detection

Voice activity detection

Noise cancellation

Setup

Usage

Parameters

​Setup

​Usage

​Parameters

Setup

Usage

Parameters