v0.0.100
pipecat-ai/pipecatv0.0.100Jan 21, 2026by aconchillo
AI Summary
Milestone release adding Hathora service support, CambTTSService, and UserIdleController for detecting user idle state.
Key Highlights
- Added Hathora service for TTS and STT models
- Added CambTTSService using Camb.ai MARS models
- Added additional_headers parameter to WebsocketClientParams
- Added UserIdleController for detecting user idle state
- Added on_user_mute_started and on_user_mute_stopped events to LLMUserAggregator
- Throttled UserSpeakingFrame to broadcast at most every 200ms
- Deprecated pipecat.turns.mute in favor of pipecat.turns.user_mute
- Fixed memory leak in LiveKitTransport when video_in_enabled is False
New Features
- Hathora service support
- CambTTSService with mars-flash, mars-pro, mars-instruct models
- UserIdleController with on_user_turn_idle event
- additional_headers for WebsocketClientTransport authentication
Full Release Notes
### Added
- Added Hathora service to support Hathora-hosted TTS and STT models (only non-streaming)
(PR [#3169](https://github.com/pipecat-ai/pipecat/pull/3169))
- Added `CambTTSService`, using Camb.ai's TTS integration with MARS models (mars-flash, mars-pro, mars-instruct) for high-quality text-to-speech synthesis.
(PR [#3349](https://github.com/pipecat-ai/pipecat/pull/3349))
- Added the `additional_headers` param to `WebsocketClientParams`, allowing `WebsocketClientTransport` to send custom headers on connect, for cases such as authentication.
(PR [#3461](https://github.com/pipecat-ai/pipecat/pull/3461))
- Added `UserIdleController` for detecting user idle state, integrated into `LLMUserAggregator` and `UserTurnProcessor` via optional `user_idle_timeout` parameter. Emits `on_user_turn_idle` event for application-level handling. Deprecated `UserIdleProcessor` in favor of the new compositional approach.
(PR [#3482](https://github.com/pipecat-ai/pipecat/pull/3482))
- Added `on_user_mute_started` and `on_user_mute_stopped` event handlers to `LLMUserAggregator` for tracking user mute state changes.
(PR [#3490](https://github.com/pipecat-ai/pipecat/pull/3490))
### Changed
- Enhanced interruption handling in `AsyncAITTSService` by supporting multi-context WebSocket sessions for more robust context management.
(PR [#3287](https://github.com/pipecat-ai/pipecat/pull/3287))
- Throttle `UserSpeakingFrame` to broadcast at most every 200ms instead of on every audio chunk, reducing frame processing overhead during user speech.
(PR [#3483](https://github.com/pipecat-ai/pipecat/pull/3483))
### Deprecated
- For consistency with other package names, we just deprecated `pipecat.turns.mute` (introduced in Pipecat 0.0.99) in favor of `pipecat.turns.user_mute`.
(PR [#3479](https://github.com/pipecat-ai/pipecat/pull/3479))
### Fixed
- Corrected TTFB metric calculation in `AsyncAIHttpTTSService`.
(PR [#3287](https://github.com/pipecat-ai/pipecat/pull/3287))
- Fixed an issue where the "bot-llm-text" RTVI event would not fire for realtime (speech-to-speech) services:
- `AWSNovaSonicLLMService`
- `GeminiLiveLLMService`
- `OpenAIRealtimeLLMService`
- `GrokRealtimeLLMService`
The issue was that these services weren't pushing `LLMTextFrame`s. Now they do.
(PR [#3446](https://github.com/pipecat-ai/pipecat/pull/3446))
- Fixed an issue where `on_user_turn_stop_timeout` could fire while a user is talking when using `ExternalUserTurnStrategies`.
(PR [#3454](https://github.com/pipecat-ai/pipecat/pull/3454))
- Fixed an issue where user turn start strategies were not being reset after a user turn started, causing incorrect strategy behavior.
(PR [#3455](https://github.com/pipecat-ai/pipecat/pull/3455))
- Fixed `MinWordsUserTurnStartStrategy` to not aggregate transcriptions, preventing incorrect turn starts when words are spoken with pauses between them.
(PR [#3462](https://github.com/pipecat-ai/pipecat/pull/3462))
- Fixed an issue where Grok Realtime would error out when running with SmallWebRTC transport.
(PR [#3480](https://github.com/pipecat-ai/pipecat/pull/3480))
- Fixed a `Mem0MemoryService` issue where passing `async_mode: true` was causing an error. See https://docs.mem0.ai/platform/features/async-mode-default-change.
(PR [#3484](https://github.com/pipecat-ai/pipecat/pull/3484))
- Fixed `AWSNovaSonicLLMService.reset_conversation()`, which would previously error out. Now it successfully reconnects and "rehydrates" from the context object.
(PR [#3486](https://github.com/pipecat-ai/pipecat/pull/3486))
- Fixed `AzureTTSService` transcript formatting issues:
- Punctuation now appears without extra spaces (e.g., "Hello!" instead of "Hello !")
- CJK languages (Chinese, Japanese, Korean) no longer have unwanted spaces between characters
(PR [#3489](https://github.com/pipecat-ai/pipecat/pull/3489))
- Fixed an issue where `UninterruptibleFrame` frames would not be preserved in some cases.
(PR [#3494](https://github.com/pipecat-ai/pipecat/pull/3494))
- Fixed memory leak in `LiveKitTransport` when `video_in_enabled` is `False`.
(PR [#3499](https://github.com/pipecat-ai/pipecat/pull/3499))
- Fixed an issue in `AIService` where unhandled exceptions in `start()`, `stop()`, or `cancel()` implementations would prevent `process_frame()` to continue and therefore `StartFrame`, `EndFrame`, or `CancelFrame` from being pushed downstream, causing the pipeline to not start or stop properly.
(PR [#3503](https://github.com/pipecat-ai/pipecat/pull/3503))
- Moved `NVIDIATTSService` and `NVIDIASTTService` client initialization from constructor to `start()` for better error handling.
(PR [#3504](https://github.com/pipecat-ai/pipecat/pull/3504))
- Optimized `NVIDIATTSService` to process incoming audio frames immediately.
(PR [#3509](https://github.com/pipecat-ai/pipecat/pull/3509))
- Optimized `NVIDIASTTService` by removing unnecessary queue and task.
(PR [#3509](https://github.com/pipecat-ai/pipecat/pull/3509))
- Fixed a `CambTTSService` issue where client was being initialized in the constructor which wouldn't allow for proper Pipeline error handling.
(PR [#3511](https://github.com/pipecat-ai/pipecat/pull/3511))