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

# Streaming LLM output (legacy)

> Legacy: pipe an LLM stream into the text-echo task endpoint. Use a conversation engine instead.

<Warning>
  **Legacy.** This pattern wraps an LLM around the [text-echo flow](/legacy/text-echo). New integrations should use [OpenAI Realtime](/howtos/openai_realtime_api) or [Cartesia](/howtos/cartesia) — both handle LLM, TTS, and interruption end-to-end.
</Warning>

To stream LLM responses into a text-echo avatar:

1. Use your LLM's streaming endpoint.
2. Split the stream into sentences as it arrives.
3. Send each sentence to the Avaturn [`POST /api/v1/sessions/{id}/tasks`](/api-reference/create-speech-task) endpoint (or call [`avatar.task()`](/web-sdk/reference/methods#task-text) from the frontend).

For per-sentence chunking heuristics, see ElevenLabs' [streaming TTS WebSocket guide](https://elevenlabs.io/docs/cookbooks/voices/streaming-via-websocket) — the sentence-split pattern applies here too.