TTS: context_id continuations on the WebSocket

The wss://api.smallest.ai/waves/v1/tts/live WebSocket accepts a new context_id field, plus max_buffer_delay_ms and context_close.

Send the same context_id on a sequence of text fragments (e.g. tokens arriving from an LLM) to have them buffered, joined at natural sentence boundaries, and spoken as one continuous generation — each new fragment in the context is primed with the audio from the one before it, so prosody carries across chunks instead of resetting per-request. Fragments sharing a context_id on one connection also count as a single concurrency slot, not one per fragment.

Close a context with continue: false (optionally without text) once input ends naturally, or context_close: true for an immediate teardown. context_id cannot be combined with the older flush / max_buffer_flush_ms buffer — that’s still available unchanged for existing integrations.

Full parameter reference, buffering rules, and a worked example on the new Continuations page.