Inworld AI

Inworld AI is a text-to-speech plugin. It synthesizes the LLM’s reply into natural-sounding speech via Inworld AI’s realtime, low-latency voice API.

Setup

Set your Inworld AI API key in the worker environment. Generate a key from the Inworld AI studio:

export INWORLDAI_API_KEY=<key>

Usage

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

from zrt.plugins import InworldAITTS

tts = InworldAITTS()

# Pipeline(tts=tts, ...)

Parameters

Parameter	Type	Default	Description
`api_key`	`str \| None`	`None`	Inworld AI API key. Falls back to the `INWORLDAI_API_KEY` environment variable when unset.
`voice_id`	`str`	`"Hades"`	Voice identifier for synthesis. Use any voice ID from the Inworld AI voice library (e.g. `"Hades"`, `"Sarah"`), or a custom voice UUID obtained from the voice cloning endpoint. Voice IDs are consistent across the TTS API and the Inworld Playground.
`model_id`	`str`	`"inworld-tts-1"`	TTS model to use. Options include `"inworld-tts-1.5-max"` (optimized for quality) and `"inworld-tts-1.5-mini"` (~120 ms median latency, optimized for speed).
`sample_rate`	`int`	`24000`	Output audio sample rate in Hz. Supports values in the range 8000-48000 Hz.

Synthesized audio is streamed back to the caller after the LLM produces a response.

Murf AI Hume AI

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