v0.0.58

### Added

- Added track-specific audio event `on_track_audio_data` to `AudioBufferProcessor` for accessing separate input and output audio tracks.

- Pipecat version will now be logged on every application startup. This will help us identify what version we are running in case of any issues.

- Added a new `StopFrame` which can be used to stop a pipeline task while keeping the frame processors running. The frame processors could then be used in a different pipeline. The difference between a `StopFrame` and a `StopTaskFrame` is that, as with `EndFrame` and `EndTaskFrame`, the `StopFrame` is pushed from the task and the `StopTaskFrame` is pushed upstream inside the pipeline by any processor.

- Added a new `PipelineTask` parameter `observers` that replaces the previous `PipelineParams.observers`.

- Added a new `PipelineTask` parameter `check_dangling_tasks` to enable or disable checking for frame processors' dangling tasks when the Pipeline finishes running.

- Added new `on_completion_timeout` event for LLM services (all OpenAI-based services, Anthropic and Google). Note that this event will only get triggered if LLM timeouts are setup and if the timeout was reached. It can be useful to retrigger another completion and see if the timeout was just a blip.

- Added new log observers `LLMLogObserver` and `TranscriptionLogObserver` that can be useful for debugging your pipelines.

- Added `room_url` property to `DailyTransport`.

- Added `addons` argument to `DeepgramSTTService`.

- Added `exponential_backoff_time()` to `utils.network` module.

### Changed

- ⚠️ `PipelineTask` now requires keyword arguments (except for the first one for the pipeline).

- Updated `PlayHTHttpTTSService` to take a `voice_engine` and `protocol` input in the constructor. The previous method of providing a `voice_engine` input that contains the engine and protocol is deprecated by PlayHT.

- The base `TTSService` class now strips leading newlines before sending text to the TTS provider. This change is to solve issues where some TTS providers, like Azure, would not output text due to newlines.

- `GrokLLMSService` now uses `grok-2` as the default model.

- `AnthropicLLMService` now uses `claude-3-7-sonnet-20250219` as the default model.

- `RimeHttpTTSService` needs an `aiohttp.ClientSession` to be passed to the constructor as all the other HTTP-based services.

- `RimeHttpTTSService` doesn't use a default voice anymore.

- `DeepgramSTTService` now uses the new `nova-3` model by default. If you want to use the previous model you can pass `LiveOptions(model="nova-2-general")`.
  (see https://deepgram.com/learn/introducing-nova-3-speech-to-text-api)

```python
stt = DeepgramSTTService(..., live_options=LiveOptions(model="nova-2-general"))
```

### Deprecated

- `PipelineParams.observers` is now deprecated, you the new `PipelineTask` parameter `observers`.

### Removed

- Remove `TransportParams.audio_out_is_live` since it was not being used at all.

### Fixed

- Fixed a `GoogleLLMService` that was causing an exception when sending inline audio in some cases.

- Fixed an `AudioContextWordTTSService` issue that would cause an `EndFrame` to disconnect from the TTS service before audio from all the contexts was received. This affected services like Cartesia and Rime.

- Fixed an issue that was not allowing to pass an `OpenAILLMContext` to create `GoogleLLMService`'s context aggregators.

- Fixed a `ElevenLabsTTSService`, `FishAudioTTSService`, `LMNTTTSService` and `PlayHTTTSService` issue that was resulting in audio requested before an interruption being played after an interruption.

- Fixed `match_endofsentence` support for ellipses.

- Fixed an issue that would cause undesired interruptions via `EmulateUserStartedSpeakingFrame` when only interim transcriptions (i.e. no final transcriptions) where received.

- Fixed an issue where `EndTaskFrame` was not triggering `on_client_disconnected` or closing the WebSocket in FastAPI.

- Fixed an issue in `DeepgramSTTService` where the `sample_rate` passed to the `LiveOptions` was not being used, causing the service to use the default sample rate of pipeline.

- Fixed a context aggregator issue that would not append the LLM text response to the context if a function call happened in the same LLM turn.

- Fixed an issue that was causing HTTP TTS services to push `TTSStoppedFrame` more than once.

- Fixed a `FishAudioTTSService` issue where `TTSStoppedFrame` was not being pushed.

- Fixed an issue that `start_callback` was not invoked for some LLM services.

- Fixed an issue that would cause `DeepgramSTTService` to stop working after an error occurred (e.g. sudden network loss). If the network recovered we would not reconnect.

- Fixed a `STTMuteFilter` issue that would not mute user audio frames causing transcriptions to be generated by the STT service.

### Other

- Added Gemini support to `examples/phone-chatbot`.

- Added foundational example `34-audio-recording.py` showing how to use the `AudioBufferProcessor` callbacks to save merged and track recordings.