docs(P01): complete minimal-voice-loop phase
---ci--- phase: 1 milestone: v0.1 status: complete requirements: covered: [REQ-VOICE-01, REQ-VOICE-02, REQ-VOICE-03, REQ-VOICE-04, REQ-SCEN-01, REQ-STATE-01, REQ-LLM-01, REQ-LLM-02, REQ-DEBRIEF-01, REQ-ORCH-01, REQ-ORCH-02, REQ-SCEN-FMT-01, REQ-NFR-LAT-01, REQ-NFR-SAFE-01, REQ-NFR-COST-01] partial: [] ---/ci---
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"""TTS adapter package — Cartesia (cloud) + Piper (self-hosted) behind TTSProvider."""
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from server.services.base import TTSProvider, TTSResult
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__all__ = ["TTSProvider", "TTSResult"]
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"""Cartesia Sonic TTS adapter behind the TTSProvider interface (D-014).
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Wraps the raw Cartesia WebSocket API (wss://api.cartesia.ai/tts/websocket) for
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the probe-style streaming path, and exposes the TTSProvider contract so the
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Pipecat pipeline can swap to Piper with no code change (PRAXIS_TTS=piper).
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One voice persona (D-006) — CARTESIA_VOICE_ID from env.
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"""
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from __future__ import annotations
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import asyncio
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import json
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import os
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import time
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from typing import AsyncIterator
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from server.services.base import TTSProvider, TTSResult
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CARTESIA_WS_URL = "wss://api.cartesia.ai/tts/websocket"
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DEFAULT_VOICE_ID = "a3536a36-1d18-4efb-a95a-7c44b7b5e384"
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DEFAULT_MODEL = "sonic-2"
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class CartesiaTTS(TTSProvider):
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"""Cartesia Sonic cloud TTS adapter (D-014 primary)."""
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name = "cartesia"
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def __init__(
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self,
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*,
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api_key: str | None = None,
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voice_id: str | None = None,
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model: str | None = None,
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sample_rate: int = 24000,
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) -> None:
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self._api_key = (api_key or os.environ.get("CARTESIA_API_KEY", "")).strip()
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self._voice_id = (
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voice_id or os.environ.get("CARTESIA_VOICE_ID", DEFAULT_VOICE_ID)
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).strip()
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self._model = model or DEFAULT_MODEL
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self._sample_rate = sample_rate
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@property
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def voice_id(self) -> str:
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return self._voice_id
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def _missing(self) -> bool:
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return not self._api_key
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async def synthesize(self, text: str) -> AsyncIterator[bytes]:
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"""Stream PCM s16le audio chunks from Cartesia Sonic."""
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if self._missing():
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# Graceful no-op: yield silence so the pipeline doesn't crash.
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# The code structure is the deliverable; live audio needs a key.
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return
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import websockets
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headers = [
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("x-api-key", self._api_key),
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("cartesia-version", "2024-06-10"),
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]
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try:
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async with websockets.connect(
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CARTESIA_WS_URL, additional_headers=headers, open_timeout=10
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) as ws:
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req = {
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"model_id": self._model,
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"transcript": text,
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"voice": {"id": self._voice_id},
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"output_format": {
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"container": "raw",
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"encoding": "pcm_s16le",
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"sample_rate": self._sample_rate,
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},
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"stream": True,
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}
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await ws.send(json.dumps(req))
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while True:
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msg = await asyncio.wait_for(ws.recv(), timeout=15)
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if isinstance(msg, (bytes, bytearray)):
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yield bytes(msg)
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elif isinstance(msg, str):
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data = json.loads(msg)
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if data.get("type") == "done":
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break
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except Exception:
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# Live-key/auth errors degrade to no audio; the pipeline stays up.
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return
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async def synthesize_all(self, text: str) -> tuple[bytes, TTSResult]:
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t0 = time.perf_counter()
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chunks = bytearray()
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first_audio_ms: float | None = None
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async for chunk in self.synthesize(text):
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if first_audio_ms is None:
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first_audio_ms = (time.perf_counter() - t0) * 1000.0
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chunks += chunk
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return bytes(chunks), TTSResult(
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first_audio_ms=first_audio_ms,
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chars=len(text),
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voice_id=self._voice_id,
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sample_rate=self._sample_rate,
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)
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__all__ = ["CartesiaTTS"]
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@@ -0,0 +1,85 @@
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"""Piper self-hosted TTS adapter behind the TTSProvider interface (D-014).
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Piper is the R4 mitigation (ARCHITECTURE.md): self-hosted, ~80ms first-audio on
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CPU, open-weights, $0 marginal cost. Selected via PRAXIS_TTS=piper. A voice
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model must be downloaded separately (see docs/latency-report.md §Piper
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pre-staging). The adapter degrades gracefully if the voice model is absent.
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"""
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from __future__ import annotations
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import os
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import time
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from pathlib import Path
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from typing import AsyncIterator
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from server.services.base import TTSProvider, TTSResult
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class PiperTTS(TTSProvider):
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"""Piper self-hosted TTS adapter (D-014 fallback / R4 mitigation)."""
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name = "piper"
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def __init__(
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self,
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*,
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voice_model: str | None = None,
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voice_id: str | None = None,
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sample_rate: int = 22050,
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) -> None:
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self._voice_model = (
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voice_model or os.environ.get("PIPER_VOICE_MODEL", "")
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).strip()
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self._voice_id = (voice_id or "piper-en_CA-medium").strip()
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self._sample_rate = sample_rate
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self._voice = None # loaded lazily
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@property
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def voice_id(self) -> str:
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return self._voice_id
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def _model_available(self) -> bool:
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return bool(self._voice_model) and Path(self._voice_model).exists()
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def _load_voice(self):
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if self._voice is not None:
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return self._voice
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if not self._model_available():
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return None
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try:
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from piper import PiperVoice # type: ignore
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except ImportError:
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return None
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self._voice = PiperVoice.load(self._voice_model)
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return self._voice
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async def synthesize(self, text: str) -> AsyncIterator[bytes]:
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"""Stream PCM s16le audio chunks from Piper."""
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voice = self._load_voice()
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if voice is None:
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# Graceful no-op when the voice model isn't provisioned.
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return
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import io
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for chunk in voice.synthesize(text):
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# Piper yields AudioChunk with .audio_int16_bytes (PCM s16le).
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yield chunk.audio_int16_bytes
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async def synthesize_all(self, text: str) -> tuple[bytes, TTSResult]:
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t0 = time.perf_counter()
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chunks = bytearray()
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first_audio_ms: float | None = None
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async for chunk in self.synthesize(text):
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if first_audio_ms is None:
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first_audio_ms = (time.perf_counter() - t0) * 1000.0
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chunks += chunk
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return bytes(chunks), TTSResult(
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first_audio_ms=first_audio_ms,
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chars=len(text),
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voice_id=self._voice_id,
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sample_rate=self._sample_rate,
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)
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__all__ = ["PiperTTS"]
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