> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.jambonz.org/reference/websocket-api/call-control/tts-tokens/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.jambonz.org/_mcp/server.

# tts:tokens

> > websocket server => jambonz

An `tts:tokens` message is sent by the application to jambonz to stream text to a speech synthesizer.  This requires that a TTS speech vendor that supports streaming is being used for the call.  Currrently, as of release 0.9.3 the following vendors are support for TTS streaming:

* Cartesia
* Deepgram
* Elevenlabs

The payload must contain:

* id: a unique identifier within the current tts stream, identifying this request
* tokens: a string of text to be synthesized in streaming fashion

The intent is that as the application receives a stream of tokens from an LLM that is being managed by the application it will send this stream on via successive calls to tts:tokens.

The application will receive a [tts:tokens-result](docs/ws/tts-tokens-result) message in response to each tts:tokens message it sends.