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Useful for streaming transcripts generated by an LLM.
def tts_websocket_continuations(client: Cartesia) -> None:
    """Streaming a transcript split into multiple parts, using continuations.
    Useful for streaming transcripts generated by an LLM."""
    with client.tts.websocket_connect() as ws:
        ctx = ws.context(
            model_id="sonic-latest",
            voice={"mode": "id", "id": "6ccbfb76-1fc6-48f7-b71d-91ac6298247b"},
            output_format={
                "container": "raw",
                "encoding": "pcm_s16le",
                "sample_rate": 44100,
            },
            language="en",
        )

        for part in ["The road ", "goes ever ", "on and ", "on."]:
            ctx.push(part)

        ctx.no_more_inputs()

        import datetime

        filename = f"tts_websocket_continuations_{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}.pcm"

        # Write chunks to file as they arrive.
        # You could also send chunks over the network, play them in real-time, etc.
        with open(filename, "wb") as f:
            for response in ctx.receive():
                if response.type == "chunk" and response.audio:
                    f.write(response.audio)
                elif response.type == "error":
                    print(f"error: {response.message or response.title}")

        print(f"Saved audio to {filename}")
        print(f"Play with:\n  $ ffplay -f s16le -ar 44100 {filename}")
From cartesia-python/examples/examples.py:227

Run this example

git clone --branch v3.2.0 https://github.com/cartesia-ai/cartesia-python
cd cartesia-python
uv sync
CARTESIA_API_KEY=YOUR_KEY uv run examples/examples.py tts_websocket_continuations