Add a `Settings` class-level alias on every STT, LLM, TTS, image,
vision, and video service class pointing to its settings dataclass.
This lets developers discover the right settings class via the service
class itself (e.g. `GoogleSTTService.Settings(...)`) without needing
to know or import the separate settings class name.
Adds the explicit "no params object" step 3 comment to all
LLM services that skip from step 2 to step 4 in their
settings initialization sequence, matching the pattern
established in services that do have a params object.
Replace references to undefined `_params` with `self._settings` for
language and VAD config. Add missing `system_instruction` to default
settings to satisfy validate_complete(). Remove redundant line that
read language from the deprecated `params` arg.
- Speechmatics: move config build after super().__init__ and settings
delta so turn_detection_mode (e.g. ADAPTIVE) takes effect
- Google STT: fix example passing bare Language enum instead of list
- Google TTS: add missing explicit defaults for all custom settings fields
- Soniox: fix accidental tuple wrapping of STT service in example
- Speechmatics examples: fix system->user role in kick-off messages
- Deepgram Flux: move tag from settings to __init__ (billing metadata)
- ElevenLabs STT: default tag_audio_events to None (use API default)
- Fal STT: simplify language default handling
- Google TTS: rename GoogleStreamTTSSettings to GoogleTTSSettings
Use "AI service" language instead of listing specific types, add
ServiceSettings as a fallback for direct AIService subclasses, and
clarify delta mode description with a concrete frame example.
The audio fields (sample rates, sample sizes, channel counts) on the deprecated `Params` class had no non-deprecated equivalent. This adds an `AudioConfig` class and `audio_config` init arg so users can specify audio configuration without relying on the deprecated `params` parameter.
Move `session_properties` into `GrokRealtimeLLMSettings`, making `settings` the canonical way to configure Grok Realtime — matching the pattern used across the rest of the codebase. The `session_properties` init arg is now deprecated in favor of `settings=GrokRealtimeLLMSettings(session_properties=...)`.
`system_instruction` is synced bidirectionally between the top-level settings field and `session_properties.instructions`, with top-level taking precedence on conflict. (Unlike OpenAI Realtime, Grok's `SessionProperties` has no `model` field, so no model sync is needed.)
Replace the monolithic rtvi.py with a proper package split by concern
protocol version:
- models_v0.py: deprecated pre-1.0 Pydantic models
- models_v1.py: current RTVI protocol v1 message models
- frames.py: RTVI pipeline frame dataclasses
- observer.py: RTVIObserver and RTVIObserverParams
- processor.py: RTVIProcessor (now lean, imports from submodules)
- __init__.py: re-exports full public API for backward compatability
Move `session_properties` into `OpenAIRealtimeLLMSettings`, making `settings` the canonical way to configure OpenAI Realtime — matching the pattern used across the rest of the codebase. The `session_properties` init arg is now deprecated in favor of `settings=OpenAIRealtimeLLMSettings(session_properties=...)`.
`model` and `system_instruction` are synced bidirectionally between the top-level settings fields and `session_properties.model`/`.instructions`, with top-level taking precedence on conflict.
Add `system_instruction=None` to `default_settings` for OpenAIRealtimeLLMService, GrokRealtimeLLMService, UltravoxRealtimeLLMService, AWSNovaSonicLLMService (Azure inherits from OpenAI), and OpenAIRealtimeBetaLLMService (Azure Beta inherits from OpenAI Beta).
Deprecate `system_instruction` init arg in AWSNovaSonicLLMService in favor of `settings=AWSNovaSonicLLMSettings(system_instruction=...)`. Use `self._settings.system_instruction` directly instead of storing a separate `self._system_instruction`.
Deprecation of `params` and `session_properties` in favor of `settings` for realtime services will be tackled in future work.
Add `system_instruction` field to `LLMSettings` so it is runtime-updatable via settings.
For Google (GoogleLLMService, GoogleVertexLLMService), deprecate the init-time arg since it was already shipped. For Anthropic, AWS Bedrock, and OpenAI, remove the init-time arg entirely since it was never shipped.
Still need to handle realtime services (OpenAI Realtime, Grok Realtime, Gemini Live).
Broaden the "Dynamic Settings Updates" section into "Service Settings"
covering the complete settings pattern: defining a Settings subclass,
wiring it into __init__ with defaults + apply_update, and distinguishing
init-only config from runtime-updatable fields.
