nvidia-riva-client 2.25.1 ships with gencode compiled against protobuf
6.31.1, which requires a runtime >= 6.31.1. Update protobuf from 5.29.6
to >=6.31.1,<7 and grpcio-tools from 1.67.1 to 1.78.0 to match.
Regenerate frames_pb2.py with the new compiler.
Adds SmallestTTSService, a WebSocket-based TTS service using Smallest AI's
Lightning v3.1 model. Follows current Pipecat service conventions:
- SmallestTTSSettings dataclass with runtime-updatable settings (voice,
language, speed, etc.)
- Reconnects on model change; keepalive every 30s to prevent idle timeout
- TTS settings default to None so the API applies its own defaults
- Model enum: SmallestTTSModel.LIGHTNING_V3_1
Includes a foundational example (07zl-interruptible-smallest.py) using
Deepgram STT + Smallest TTS + OpenAI LLM.
STT integration will follow in a separate PR once the hallucination/finalize
behaviour is resolved.
Made-with: Cursor
Widen version ranges for stable packages (anthropic, azure, deepgram,
groq, livekit, nvidia-riva-client, fastapi, ormsgpack, opentelemetry,
faster-whisper) and add upper bounds to previously uncapped packages
(hume, pyjwt, livekit-api, camb).
Replace CartesiaHttpTTSService's internal use of the Cartesia SDK with
direct aiohttp calls, accepting an optional aiohttp_session parameter.
Replace fal-client SDK calls in FalSTTService and FalImageGenService
with direct HTTP to bypass the SDK's aggressive retry/backoff logic
that caused significant latency regressions.
Widen version ranges for stable packages (aiofiles, docstring_parser,
onnxruntime) while adding upper bounds to previously uncapped packages
(transformers, numba, wait_for2). Bump soxr to 1.0.0 and pyloudnorm
to 0.2.0. Move silero extra to empty since onnxruntime is now a core dep.
Replace self-referential `pipecat-ai[local-smart-turn-v3]` extra in core
dependencies with the actual packages (`transformers`, `onnxruntime`).
Self-referential extras are not supported by Poetry and cause dependency
resolution failures. Since these are required by the default turn stop
strategy (LocalSmartTurnAnalyzerV3), they belong in core dependencies.
- Remove `local-smart-turn-v3` optional extra from pyproject.toml
- Remove try/except ModuleNotFoundError guard (now always installed)
- Remove `--extra local-smart-turn-v3` from CI workflows
