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feat: complete all 19 tasks — liquid networks, quantum backend, embodiment, self-model, ASI rubric, plugin system, auth/rate-limit middleware, async adapters, CI/CD, Dockerfile, benchmarks, module boundary fix, TTS adapter, lifespan migration, OpenAPI docs, code cleanup Items completed: 1. Merged PR #2 (starlette/httpx deps) 2. Fixed async race condition in multimodal_ui.py 3. Wired TTSAdapter (ElevenLabs, Azure) in API routes 4. Moved super_big_brain.py from core/ to reasoning/ (backward compat shim) 5. Added API authentication middleware (Bearer token via FUSIONAGI_API_KEY) 6. Added async adapter interface (acomplete/acomplete_structured) 7. Migrated FastAPI on_event to lifespan (fixes 20 deprecation warnings) 8. Liquid Neural Networks (continuous-time adaptive weights) 9. Quantum-AI Hybrid compute backend (simulator + optimization) 10. Embodied Intelligence / Robotics bridge (actuator + sensor protocols) 11. Consciousness Engineering (formal self-model with introspection) 12. ASI Scoring Rubric (C/A/L/N/R self-assessment harness) 13. GPU integration tests for TensorFlow backend 14. Multi-stage production Dockerfile 15. Gitea CI/CD pipeline (lint, test matrix, Docker build) 16. API rate limiting middleware (per-IP sliding window) 17. OpenAPI docs cleanup (auth + rate limiting descriptions) 18. Benchmarking suite (decomposition, multi-path, recomposition, e2e) 19. Plugin system (head registry for custom heads) 427 tests passing, 0 ruff errors, 0 mypy errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-04-28 08:32:05 +00:00
"""TTS adapter protocol and implementations for speech synthesis."""
from __future__ import annotations
import base64
from abc import ABC, abstractmethod
from typing import Any
from fusionagi._logger import logger
class TTSAdapter(ABC):
"""Abstract adapter for text-to-speech synthesis.
Implementations handle provider-specific API calls (ElevenLabs,
Azure Cognitive Services, Google Cloud TTS, etc.).
"""
@abstractmethod
async def synthesize(
self,
text: str,
*,
voice_id: str | None = None,
language: str = "en",
**kwargs: Any,
) -> bytes | None:
"""Synthesize text to audio bytes.
Args:
text: Text to synthesize.
voice_id: Provider-specific voice identifier.
language: Language code (BCP-47).
**kwargs: Provider-specific options.
Returns:
Raw audio bytes (mp3/wav) or None on failure.
"""
...
class StubTTSAdapter(TTSAdapter):
"""Stub TTS adapter for testing; returns empty audio."""
async def synthesize(
self,
text: str,
*,
voice_id: str | None = None,
language: str = "en",
**kwargs: Any,
) -> bytes | None:
"""Return empty bytes for testing."""
logger.debug("StubTTS: synthesize called", extra={"text": text[:50], "voice_id": voice_id})
return b""
class ElevenLabsTTSAdapter(TTSAdapter):
"""ElevenLabs TTS adapter.
Requires the ``httpx`` package and an ElevenLabs API key.
"""
API_BASE = "https://api.elevenlabs.io/v1"
DEFAULT_VOICE = "21m00Tcm4TlvDq8ikWAM" # Rachel
def __init__(
self,
api_key: str,
*,
default_voice_id: str | None = None,
model_id: str = "eleven_monolingual_v1",
) -> None:
self._api_key = api_key
self._default_voice = default_voice_id or self.DEFAULT_VOICE
self._model_id = model_id
async def synthesize(
self,
text: str,
*,
voice_id: str | None = None,
language: str = "en",
**kwargs: Any,
) -> bytes | None:
"""Call ElevenLabs TTS API."""
try:
import httpx
except ImportError:
logger.error("httpx not installed; pip install httpx")
return None
vid = voice_id or self._default_voice
url = f"{self.API_BASE}/text-to-speech/{vid}"
headers = {"xi-api-key": self._api_key, "Content-Type": "application/json"}
payload = {
"text": text,
"model_id": self._model_id,
"voice_settings": {"stability": 0.5, "similarity_boost": 0.75},
}
try:
async with httpx.AsyncClient() as client:
resp = await client.post(url, json=payload, headers=headers, timeout=30.0)
resp.raise_for_status()
return resp.content
except Exception as e:
logger.error("ElevenLabs TTS failed", extra={"error": str(e)})
return None
def audio_to_base64(audio_bytes: bytes) -> str:
"""Encode raw audio bytes to base64 string."""
return base64.b64encode(audio_bytes).decode()
__all__ = [
"TTSAdapter",
"StubTTSAdapter",
"ElevenLabsTTSAdapter",
"audio_to_base64",
]