v0.0.85

### Added

- `AzureSTTService` now pushes interim transcriptions.

- Added `voice_cloning_key` to `GoogleTTSService` to support custom cloned voices.

- Added `speaking_rate` to `GoogleTTSService.InputParams` to control the speaking rate.

- Added a `speed` arg to `OpenAITTSService` to control the speed of the voice response.

- Added `FrameProcessor.push_interruption_task_frame_and_wait()`. Use this method to programatically interrupt the bot from any part of the pipeline. This guarantees that all the processors in the pipeline are interrupted in order (from upstream to downstream). Internally, this works by first pushing an `InterruptionTaskFrame` upstream until it reaches the pipeline task. The pipeline task then generates an `InterruptionFrame`, which flows downstream through all processors. Once the `InterruptionFrame` has reaches the processor waiting for the interruption, the function returns and execution continues after the call. Think of it as sending an upstream request for interruption and waiting until the acknowledgment flows back downstream.

- Added new base `TaskFrame` (which is a system frame). This is the base class for all task frames (`EndTaskFrame`, `CancelTaskFrame`, etc.) that are meant to be pushed upstream to reach the pipeline task.

- Expanded support for universal `LLMContext` to the AWS Bedrock LLM service.  Using the universal `LLMContext` and associated `LLMContextAggregatorPair` is a pre-requisite for using `LLMSwitcher` to switch between LLMs at runtime.

- Added new fields to the development runner's `parse_telephony_websocket` method in support of providing dynamic data to a bot.

  - Twilio: Added a new `body` parameter, which parses the websocket message for `customParameters`. Provide data via the `Parameter` nouns in your TwiML to use this feature.
  - Telnyx & Exotel: Both providers make the `to` and `from` phone numbers available in the websocket messages. You can now access these numbers as `call_data["to"]` and `call_data["from"]`.

  Note: Each telephony provider offers different features. Refer to the corresponding example in `pipecat-examples` to see how to pass custom data to your bot.

- Added `body` to the `WebsocketRunnerArguments` as an optional parameter.  Custom `body` information can be passed from the server into the bot file via the `bot()` method using this new parameter.

- Added video streaming support to `LiveKitTransport`.

- Added `OpenAIRealtimeLLMService` and `AzureRealtimeLLMService` which provide access to OpenAI Realtime.

### Changed

- `pipeline.tests.utils.run_test()` now allows passing `PipelineParams` instead of individual parameters.

### Removed

- Remove `VisionImageRawFrame` in favor of context frames (`LLMContextFrame` or `OpenAILLMContextFrame`).

### Deprecated

- `BotInterruptionFrame` is now deprecated, use `InterruptionTaskFrame` instead.

- `StartInterruptionFrame` is now deprected, use `InterruptionFrame` instead.

- Deprecate `VisionImageFrameAggregator` because `VisionImageRawFrame` has been removed. See the `12*` examples for the new recommended replacement pattern.

- `NoisereduceFilter` is now deprecated and will be removed in a future version. Use other audio filters like `KrispFilter` or `AICFilter`.

- Deprecated `OpenAIRealtimeBetaLLMService` and `AzureRealtimeBetaLLMService`.  Use `OpenAIRealtimeLLMService` and `AzureRealtimeLLMService`, respectively.  Each service will be removed in an upcoming version, 1.0.0.

### Fixed

- Fixed a `BaseOutputTransport` issue that caused incorrect detection of when the bot stopped talking while using an audio mixer.

- Fixed a `LiveKitTransport` issue where RTVI messages were not properly encoded.

- Add additional fixups to Mistral context messages to ensure they meet Mistral-specific requirements, avoiding Mistral "invalid request" errors.

- Fixed `DailyTransport` transcription handling to gracefully handle missing `rawResponse` field in transcription messages, preventing KeyError crashes.