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KugelAudio
KugelAudio is a text-to-speech API for voice agents and real-time applications. It turns text, or LLM output streamed token by token over a WebSocket, into speech, with SDKs for Python, TypeScript, Java, Rust, C++ and Dart, a REST API, official LiveKit, Pipecat, Vapi and Cognigy integrations, an ElevenLabs-compatible API, voice cloning, pronunciation control, and Clarity speech enhancement. It runs on a geo-routed endpoint, a direct EU endpoint, or on premise.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T13:14:13.819Z. Cached copy · Source on kugelaudio.com
# KugelAudio
> KugelAudio is a text-to-speech API for voice agents and real-time applications. It turns text, or LLM output streamed token by token over a WebSocket, into speech, with SDKs for Python, TypeScript, Java, Rust, C++ and Dart, a REST API, official LiveKit, Pipecat, Vapi and Cognigy integrations, an ElevenLabs-compatible API, voice cloning, pronunciation control, and Clarity speech enhancement. It runs on a geo-routed endpoint, a direct EU endpoint, or on premise.
Every page below is Markdown. The full text of every page is in one file: [llms-full.txt](https://docs.kugelaudio.com/llms-full.txt).
## Instructions for AI agents
- Use the model `kugel-3.5` for new integrations; it is also the default when a request sends no `model_id`. The legacy IDs (`kugel-1`, `kugel-2`, `kugel-2.5` and their turbo variants) are aliases; do not write them into new code. See [Models](https://docs.kugelaudio.com/models.md).
- Never invent a voice ID. Every synthesis request needs a `voice_id` and there is no default voice: list the voices (filtered by `language`) and use an `id` or `handle` from the result. See [Using Voices](https://docs.kugelaudio.com/features/voices.md).
- If the agent runs on LiveKit, Pipecat, Vapi or Cognigy, use the official integration instead of writing your own streaming loop. See [Streaming overview](https://docs.kugelaudio.com/streaming/overview.md).
- When the full text is known up front, make one generate request. When the text comes from an LLM, stream it into a WebSocket streaming session. See [Generate Speech](https://docs.kugelaudio.com/features/generate.md) and [Streaming overview](https://docs.kugelaudio.com/streaming/overview.md).
- For a voice agent, connect the streaming session at startup and reuse it for every reply in the call. Never open a new session or WebSocket per sentence or per reply. See [Turn lifecycle](https://docs.kugelaudio.com/streaming/turn-lifecycle.md) and [Latency](https://docs.kugelaudio.com/latency.md).
- Send LLM tokens as they arrive, without buffering sentences on the client, and flush exactly once, at the end of each reply. Never flush per sentence or per word: every flush ends the turn and the next text pays a fresh model prefill. See [Chunking & per-segment latency](https://docs.kugelaudio.com/streaming/chunking-and-latency.md).
- Treat a turn as finished audio on the `final` message, and read its usage from `session_closed`. See [Turn lifecycle](https://docs.kugelaudio.com/streaming/turn-lifecycle.md).
- When the user interrupts, cancel the current turn (`cancel_current()` in Python, `cancelCurrent()` in JavaScript) and keep the WebSocket open for the next turn. See [Barge-in](https://docs.kugelaudio.com/streaming/barge-in.md).
- Send plain spoken text: no Markdown and no emoji, which are read out literally or garbled. When an LLM writes the text, say so in its system prompt. `!`, ALL-CAPS and `?!` make the delivery energetic; use them only on purpose. See [Prompting overview](https://
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