v0.0.77

### Added

- Added `InputTextRawFrame` frame type to handle user text input with Gemini Multimodal Live.

- Added `HeyGenVideoService`. This is an integration for HeyGen Interactive Avatar. A video service that handles audio streaming and requests HeyGen to generate avatar video responses. (see https://www.heygen.com/)

- Added the ability to switch voices to `RimeTTSService`.

- Added unified development runner for building voice AI bots across multiple transports

  - `pipecat.runner.run` – FastAPI-based development server with automatic bot discovery
  - `pipecat.runner.types` – Runner session argument types (`DailyRunnerArguments`, `SmallWebRTCRunnerArguments`, `WebSocketRunnerArguments`)
  - `pipecat.runner.utils.create_transport()` – Factory function for creating transports from session arguments
  - `pipecat.runner.daily` and `pipecat.runner.livekit` – Configuration utilities for Daily and LiveKit setups
  - Support for all transport types: Daily, WebRTC, Twilio, Telnyx, Plivo
  - Automatic telephony provider detection and serializer configuration
  - ESP32 WebRTC compatibility with SDP munging
  - Environment detection (`ENV=local`) for conditional features

- Added Async.ai TTS integration (https://async.ai/)

  - `AsyncAITTSService` – WebSocket-based streaming TTS with interruption support
  - `AsyncAIHttpTTSService` – HTTP-based streaming TTS service
  - Example scripts:
    - `examples/foundational/07ac-interruptible-asyncai.py` (WebSocket demo)
    - `examples/foundational/07ac-interruptible-asyncai-http.py` (HTTP demo)

- Added `transcription_bucket` params support to the `DailyRESTHelper`.

- Added a new TTS service, `InworldTTSService`. This service provides low-latency, high-quality speech generation using Inworld's streaming API.

- Added a new field `handle_sigterm` to `PipelineRunner`. It defaults to `False`. This field handles SIGTERM signals. The `handle_sigint` field still defaults to `True`, but now it handles only SIGINT signals.

- Added foundational example `14u-function-calling-ollama.py` for Ollama function calling.

- Added `LocalSmartTurnAnalyzerV2`, which supports local on-device inference with the new `smart-turn-v2` turn detection model.

- Added `set_log_level` to `DailyTransport`, allowing setting the logging level for Daily's internal logging system.

- Added `on_transcription_stopped` and `on_transcription_error` to Daily callbacks.

### Changed

- Changed the default `url` for `NeuphonicTTSService` to `wss://api.neuphonic.com` as it provides better global performance. You can set the URL to other URLs, such as the previous default: `wss://eu-west-1.api.neuphonic.com`.

- Update `daily-python` to 0.19.5.

- `STTMuteFilter` now pushes the `STTMuteFrame` upstream and downstream, to allow for more flexible `STTMuteFilter` placement.

- Play delayed messages from `ElevenLabsTTSService` if they still belong to the current context.

- Dependency compatibility improvements: Relaxed version constraints for core dependencies to support broader version ranges while maintaining stability:

  - `aiohttp`, `Markdown`, `nltk`, `numpy`, `Pillow`, `pydantic`, `openai`, `numba`: Now support up to the next major version (e.g. `numpy>=1.26.4,<3`)
  - `pyht`: Relaxed to `>=0.1.6` to resolve `grpcio` conflicts with `nvidia-riva-client`
  - `fastapi`: Updated to support versions `>=0.115.6,<0.117.0`
  - `torch`/`torchaudio`: Changed from exact pinning (`==2.5.0`) to compatible range (`~=2.5.0`)
  - `aws_sdk_bedrock_runtime`: Added Python 3.12+ constraint via environment marker
  - `numba`: Reduced minimum version to `0.60.0` for better compatibility

- Changed `NeuphonicHttpTTSService` to use a POST based request instead of the `pyneuphonic` package. This removes a package requirement, allowing Neuphonic to work with more services.

- Updated `ElevenLabsTTSService` to handle the case where `allow_interruptions=False`. Now, when interruptions are disabled, the same context ID will be used throughout the conversation.

- Updated the `deepgram` optional dependency to 4.7.0, which downgrades the `tasks cancelled error` to a debug log. This removes the log from appearing in Pipecat logs upon leaving.

- Upgraded the `websockets` implementation to the new asyncio implementation.  Along with this change, we're updating support for versions >=13.1.0 and <15.0.0. All services have been update to use the asyncio implementation.

- Updated `MiniMaxHttpTTSService` with a `base_url` arg where you can specify the Global endpoint (default) or Mainland China.

- Replaced regex-based sentence detection in `match_endofsentence` with NLTK's punkt_tab tokenizer for more reliable sentence boundary detection.

- Changed the `livekit` optional dependency for `tenacity` to `tenacity>=8.2.3,<10.0.0` in order to support the `google-genai` package.

- For `LmntTTSService`, changed the default `model` to `blizzard`, LMNT's recommended model.

- Updated `SpeechmaticsSTTService`:
  - Added support for additional diarization options.
  - Added foundational example `07a-interruptible-speechmatics-vad.py`, which
    uses VAD detection provided by `SpeechmaticsSTTService`.

### Fixed

- Fixed a `LLMUserResponseAggregator` issue where interruptions were not being handled properly.

- Fixed `PiperTTSService` to work with newer Piper GPL.

- Fixed a race condition in `FastAPIWebsocketClient` that occurred when attempting to send a message while the client was disconnecting.

- Fixed an issue in `GoogleLLMService` where interruptions did not work when an interruption strategy was used.

- Fixed an issue in the `TranscriptProcessor` where newline characters could cause the transcript output to be corrupted (e.g. missing all spaces).

- Fixed an issue in `AudioBufferProcessor` when using `SmallWebRTCTransport` where, if the microphone was muted, track timing was not respected.

- Fixed an error that occurs when pushing an `LLMMessagesFrame`. Only some LLM services, like Grok, are impacted by this issue. The fix is to remove the optional `name` property that was being added to the message.

- Fixed an issue in `AudioBufferProcessor` that caused garbled audio when `enable_turn_audio` was enabled and audio resampling was required.

- Fixed a dependency issue for uv users where an `llvmlite` version required python 3.9.

- Fixed an issue in `MiniMaxHttpTTSService` where the `pitch` param was the incorrect type.

- Fixed an issue with OpenTelemetry tracing where the `enable_tracing` flag did not disable the internal tracing decorator functions.

- Fixed an issue in `OLLamaLLMService` where kwargs were not passed correctly to the parent class.

- Fixed an issue in `ElevenLabsTTSService` where the word/timestamp pairs were calculating word boundaries incorrectly.

- Fixed an issue where, in some edge cases, the `EmulateUserStartedSpeakingFrame` could be created even if we didn't have a transcription.

- Fixed an issue in `GoogleLLMContext` where it would inject the `system_message` as a "user" message into cases where it was not meant to; it was only meant to do that when there were no "regular" (non-function-call) messages in the context, to ensure that inference would run properly.

- Fixed an issue in `LiveKitTransport` where the `on_audio_track_subscribed` was never emitted.

### Other

- Added new quickstart demos:

  - examples/quickstart: voice AI bot quickstart
  - examples/client-server-web: client/server starter example
  - examples/phone-bot-twilio: twilio starter example

- Removed most of the examples from the pipecat repo. Examples can now be found in: https://github.com/pipecat-ai/pipecat-examples.