v0.0.54

### Added

- In order to create tasks in Pipecat frame processors it is now recommended to use `FrameProcessor.create_task()` (which uses the new `utils.asyncio.create_task()`). It takes care of uncaught exceptions, task cancellation handling and task management. To cancel or wait for a task there is `FrameProcessor.cancel_task()` and `FrameProcessor.wait_for_task()`. All of Pipecat processors have been updated accordingly. Also, when a pipeline runner finishes, a warning about dangling tasks might appear, which indicates if any of the created tasks was never cancelled or awaited for (using these new functions).

- It is now possible to specify the period of the `PipelineTask` heartbeat frames with `heartbeats_period_secs`.

- Added `DailyMeetingTokenProperties` and `DailyMeetingTokenParams` Pydantic models for meeting token creation in `get_token` method of `DailyRESTHelper`.

- Added `enable_recording` and `geo` parameters to `DailyRoomProperties`.

- Added `RecordingsBucketConfig` to `DailyRoomProperties` to upload recordings to a custom AWS bucket.

### Changed

- Enhanced `UserIdleProcessor` with retry functionality and control over idle monitoring via new callback signature `(processor, retry_count) -> bool`. Updated the `17-detect-user-idle.py` to show how to use the `retry_count`.

- Add defensive error handling for `OpenAIRealtimeBetaLLMService`'s audio truncation. Audio truncation errors during interruptions now log a warning and allow the session to continue instead of throwing an exception.

- Modified `TranscriptProcessor` to use TTS text frames for more accurate assistant transcripts. Assistant messages are now aggregated based on bot speaking boundaries rather than LLM context, providing better handling of interruptions and partial utterances.

- Updated foundational examples `28a-transcription-processor-openai.py`, `28b-transcript-processor-anthropic.py`, and `28c-transcription-processor-gemini.py` to use the updated `TranscriptProcessor`.

### Fixed

- Fixed an `GeminiMultimodalLiveLLMService` issue that was preventing the user to push initial LLM assistant messages (using `LLMMessagesAppendFrame`).

- Added missing `FrameProcessor.cleanup()` calls to `Pipeline`, `ParallelPipeline` and `UserIdleProcessor`.

- Fixed a type error when using `voice_settings` in `ElevenLabsHttpTTSService`.

- Fixed an issue where `OpenAIRealtimeBetaLLMService` function calling resulted in an error.

- Fixed an issue in `AudioBufferProcessor` where the last audio buffer was not being processed, in cases where the `_user_audio_buffer` was smaller than the buffer size.

### Performance

- Replaced audio resampling library `resampy` with `soxr`. Resampling a 2:21s audio file from 24KHz to 16KHz took 1.41s with `resampy` and 0.031s with `soxr` with similar audio quality.

### Other

- Added initial unit test infrastructure.