changelog: add PR prefix to PR link
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Aleix Conchillo Flaqué
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Mark Backman
Mark Backman
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CHANGELOG.md
150
CHANGELOG.md
@@ -18,37 +18,37 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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- Added additional functionality related to "thinking", for Google and
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Anthropic LLMs.
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1. New typed parameters for Google and Anthropic LLMs that control the
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models' thinking behavior (like how much thinking to do, and whether to
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output thoughts or thought summaries):
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- `AnthropicLLMService.ThinkingConfig`
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- `GoogleLLMService.ThinkingConfig`
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2. New frames for representing thoughts output by LLMs:
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- `LLMThoughtStartFrame`
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- `LLMThoughtTextFrame`
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- `LLMThoughtEndFrame`
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3. A generic mechanism for recording LLM thoughts to context, used
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specifically to support Anthropic, whose thought signatures are expected
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to appear alongside the text of the thoughts within assistant context
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messages. See:
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- `LLMThoughtEndFrame.signature`
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- `LLMAssistantAggregator` handling of the above field
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- `AnthropicLLMAdapter` handling of `"thought"` context messages
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4. Google-specific logic for inserting thought signatures into the context,
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to help maintain thinking continuity in a chain of LLM calls. See:
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- `GoogleLLMService` sending `LLMMessagesAppendFrame`s to add
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LLM-specific
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`"thought_signature"` messages to context
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- `GeminiLLMAdapter` handling of `"thought_signature"` messages
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5. An expansion of `TranscriptProcessor` to process LLM thoughts in
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addition to user and assistant utterances. See:
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- `TranscriptProcessor(process_thoughts=True)` (defaults to `False`)
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- `ThoughtTranscriptionMessage`, which is now also emitted with the
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`"on_transcript_update"` event
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(PR [#3175](https://github.com/pipecat-ai/pipecat/pull/3175))
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1. New typed parameters for Google and Anthropic LLMs that control the
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models' thinking behavior (like how much thinking to do, and whether to
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output thoughts or thought summaries):
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- `AnthropicLLMService.ThinkingConfig`
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- `GoogleLLMService.ThinkingConfig`
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2. New frames for representing thoughts output by LLMs:
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- `LLMThoughtStartFrame`
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- `LLMThoughtTextFrame`
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- `LLMThoughtEndFrame`
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3. A generic mechanism for recording LLM thoughts to context, used
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specifically to support Anthropic, whose thought signatures are expected
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to appear alongside the text of the thoughts within assistant context
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messages. See:
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- `LLMThoughtEndFrame.signature`
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- `LLMAssistantAggregator` handling of the above field
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- `AnthropicLLMAdapter` handling of `"thought"` context messages
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4. Google-specific logic for inserting thought signatures into the context,
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to help maintain thinking continuity in a chain of LLM calls. See:
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- `GoogleLLMService` sending `LLMMessagesAppendFrame`s to add
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LLM-specific
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`"thought_signature"` messages to context
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- `GeminiLLMAdapter` handling of `"thought_signature"` messages
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5. An expansion of `TranscriptProcessor` to process LLM thoughts in
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addition to user and assistant utterances. See:
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- `TranscriptProcessor(process_thoughts=True)` (defaults to `False`)
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- `ThoughtTranscriptionMessage`, which is now also emitted with the
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`"on_transcript_update"` event
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(PR [#3175](https://github.com/pipecat-ai/pipecat/pull/3175))
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- Data and control frames can now be marked as non-interruptible by using the
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`UninterruptibleFrame` mixin. Frames marked as `UninterruptibleFrame` will
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`UninterruptibleFrame` mixin. Frames marked as `UninterruptibleFrame` will
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not be interrupted during processing, and any queued frames of this type will
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be retained in the internal queues. This is useful when you need ordered
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frames (data or control) that should not be discarded or cancelled due to
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@@ -67,28 +67,30 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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- Added to `AWSNovaSonicLLMService` functionality related to the new (and now
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default) Nova 2 Sonic model (`"amazon.nova-2-sonic-v1:0"`):
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- Added the `endpointing_sensitivity` parameter to control how quickly the
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model decides the user has stopped speaking.
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- Made the assistant-response-trigger hack a no-op. It's only needed for
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the older Nova Sonic model.
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(PR [#3212](https://github.com/pipecat-ai/pipecat/pull/3212))
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- Added the `endpointing_sensitivity` parameter to control how quickly the
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model decides the user has stopped speaking.
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- Made the assistant-response-trigger hack a no-op. It's only needed for
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the older Nova Sonic model.
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(PR [#3212](https://github.com/pipecat-ai/pipecat/pull/3212))
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- [Ultravox Realtime](https://docs.ultravox.ai) is now a supported
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speech-to-speech service.
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- Added `UltravoxRealtimeLLMService` for the integration.
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- Added `49-ultravox-realtime.py` example (with tool calling).
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(PR [#3227](https://github.com/pipecat-ai/pipecat/pull/3227))
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- Added `UltravoxRealtimeLLMService` for the integration.
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- Added `49-ultravox-realtime.py` example (with tool calling).
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(PR [#3227](https://github.com/pipecat-ai/pipecat/pull/3227))
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- Added Daily PSTN dial-in support to the development runner with `--dialin`
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flag. This includes:
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- `/daily-dialin-webhook` endpoint that handles incoming Daily PSTN webhooks
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- Automatic Daily room creation with SIP configuration
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- `DialinSettings` and `DailyDialinRequest` types in `pipecat.runner.types`
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for type-safe dial-in data
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- The runner now mimics Pipecat Cloud's dial-in webhook handling for local
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development
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(PR [#3235](https://github.com/pipecat-ai/pipecat/pull/3235))
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- `/daily-dialin-webhook` endpoint that handles incoming Daily PSTN webhooks
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- Automatic Daily room creation with SIP configuration
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- `DialinSettings` and `DailyDialinRequest` types in `pipecat.runner.types`
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for type-safe dial-in data
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- The runner now mimics Pipecat Cloud's dial-in webhook handling for local
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development
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(PR [#3235](https://github.com/pipecat-ai/pipecat/pull/3235))
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- Add Gladia session id to logs for `GladiaSTTService`.
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(PR [#3236](https://github.com/pipecat-ai/pipecat/pull/3236))
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@@ -128,13 +130,15 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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APIs (Interactive Avatar and Live Avatar).
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Using them is as simple as specifying the `service_type` when creating the
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`HeyGenVideoService` and the `HeyGenTransport`:
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```python
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heyGen = HeyGenVideoService(
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api_key=os.getenv("HEYGEN_LIVE_AVATAR_API_KEY"),
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service_type=ServiceType.LIVE_AVATAR,
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session=session,
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)
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```
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```python
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heyGen = HeyGenVideoService(
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api_key=os.getenv("HEYGEN_LIVE_AVATAR_API_KEY"),
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service_type=ServiceType.LIVE_AVATAR,
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session=session,
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)
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```
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(PR [#3210](https://github.com/pipecat-ai/pipecat/pull/3210))
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- Made `"amazon.nova-2-sonic-v1:0"` the new default model for
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@@ -148,9 +152,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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(PR [#3214](https://github.com/pipecat-ai/pipecat/pull/3214))
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- Updated default models for:
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- `GeminiLiveLLMService` to `gemini-2.5-flash-native-audio-preview-12-2025`.
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- `GeminiLiveVertexLLMService` to `gemini-live-2.5-flash-native-audio`.
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(PR [#3228](https://github.com/pipecat-ai/pipecat/pull/3228))
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- `GeminiLiveLLMService` to `gemini-2.5-flash-native-audio-preview-12-2025`.
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- `GeminiLiveVertexLLMService` to `gemini-live-2.5-flash-native-audio`.
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(PR [#3228](https://github.com/pipecat-ai/pipecat/pull/3228))
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- Changed the `reason` field in `EndFrame`, `CancelFrame`, `EndTaskFrame`, and
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`CancelTaskFrame` from `str` to `Any` to indicate that it can hold values
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@@ -160,33 +165,36 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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- Updated websocket STT services to use the `WebsocketSTTService` base class.
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This base class manages the websocket connection and handles reconnects.
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Updated services:
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- `AssemblyAISTTService`
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- `AWSTranscribeSTTService`
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- `GladiaSTTService`
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- `SonioxSTTService`
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(PR [#3236](https://github.com/pipecat-ai/pipecat/pull/3236))
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- `AssemblyAISTTService`
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- `AWSTranscribeSTTService`
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- `GladiaSTTService`
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- `SonioxSTTService`
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(PR [#3236](https://github.com/pipecat-ai/pipecat/pull/3236))
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- Changed Inworld's TTS service implementations:
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- Previously, the HTTP implementation was named `InworldTTSService`. That
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has been moved to `InworldHttpTTSService`. This service now supports
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word-timestamp alignment data in both streaming and non-streaming modes.
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- Updated the `InworldTTSService` class to use Inworld's Websocket API.
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This class now has support for word-timestamp alignment data and tracks
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contexts for each user turn.
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(PR [#3239](https://github.com/pipecat-ai/pipecat/pull/3239))
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- Previously, the HTTP implementation was named `InworldTTSService`. That
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has been moved to `InworldHttpTTSService`. This service now supports
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word-timestamp alignment data in both streaming and non-streaming modes.
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- Updated the `InworldTTSService` class to use Inworld's Websocket API.
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This class now has support for word-timestamp alignment data and tracks
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contexts for each user turn.
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(PR [#3239](https://github.com/pipecat-ai/pipecat/pull/3239))
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- ⚠️ Breaking change: `WordTTSService.start_word_timestamps()` and
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`WordTTSService.reset_word_timestamps()` are now async.
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`WordTTSService.reset_word_timestamps()` are now async.
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(PR [#3240](https://github.com/pipecat-ai/pipecat/pull/3240))
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- Updated the current RTVI version to 1.1.0 to reflect recent additions and
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deprecations.
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- New RTVI Messages: `send-text` and `bot-output`
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- Deprecated Messages: `append-to-context` and `bot-transcription`
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(PR [#3248](https://github.com/pipecat-ai/pipecat/pull/3248))
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- New RTVI Messages: `send-text` and `bot-output`
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- Deprecated Messages: `append-to-context` and `bot-transcription`
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(PR [#3248](https://github.com/pipecat-ai/pipecat/pull/3248))
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- `MoondreamService` now pushes `VisionFullResponseStartFrame`,
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`VisionFullResponseEndFrame` and `VisionTextFrame`.
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`VisionFullResponseEndFrame` and `VisionTextFrame`.
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(PR [#3252](https://github.com/pipecat-ai/pipecat/pull/3252))
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### Deprecated
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@@ -4,7 +4,8 @@
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### {{ definitions[category]['name'] }}
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{% for text, values in sections[section][category].items() %}
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{{ text }} ({{ values|join(', ') }})
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{{ text }}
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(PR {{ values|join(', ') }})
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{% endfor %}
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{% endfor %}
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@@ -13,4 +14,3 @@ No significant changes.
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{% endif %}
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{% endfor %}
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