Deepgram's built-in VAD events were deprecated in 0.0.99 in favor of
Silero VAD. This removes vad_events from settings and LiveOptions,
the should_interrupt parameter, the vad_enabled property,
_on_speech_started/_on_utterance_end handlers, and simplifies
_on_message and process_frame accordingly.
Remove the send_transcription_frames parameter from OpenAI Realtime LLM
(deprecated since 0.0.92). Also fix undefined _warn_deprecated_param
calls in both OpenAI and xAI realtime services, replacing them with the
existing _warn_init_param_moved_to_settings method.
UserBotLatencyLogObserver (deprecated 0.0.102) is replaced by
UserBotLatencyObserver. UserIdleProcessor (deprecated 0.0.100) is
replaced by LLMUserAggregator with user_idle_timeout.
The _self_queued_frames set and _internal_queue_frame wrapper were used
to prevent re-processing SpeechControlParamsFrame that the aggregator
queued to itself. Now that the frame is no longer special-cased, this
tracking is unnecessary. Also removes unused FrameCallback import.
Adds `enable_prompt_caching` setting to `AWSBedrockLLMSettings`. When
enabled, appends `cachePoint` markers to system prompts and tool
definitions in ConverseStream requests.
This can reduce TTFT by up to 85% for multi-turn conversations where
the system prompt stays constant (e.g. voice agents, chat assistants).
Follows the same pattern as `AnthropicLLMService.enable_prompt_caching`.
Usage:
```python
llm = AWSBedrockLLMService(
settings=AWSBedrockLLMSettings(
model="au.anthropic.claude-haiku-4-5-20251001-v1:0",
enable_prompt_caching=True,
),
)
```
See: https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.html
Remove EmulateUserStartedSpeakingFrame, EmulateUserStoppedSpeakingFrame
(deprecated since v0.0.99), and the emulated field from
UserStartedSpeakingFrame and UserStoppedSpeakingFrame. Clean up the
handling code in base_input.py and a stale comment in nova_sonic/llm.py.
The interruption_strategies mechanism was deprecated in v0.0.99 in favor
of LLMUserAggregator's user_turn_strategies. All evaluation logic was
already removed — this removes the remaining field definitions, property,
StartFrame propagation, conditional check in base_input.py, strategy
files, and test.
This field was deprecated in v0.0.99 in favor of LLMUserAggregator's
user_turn_strategies / user_mute_strategies parameters. Since the default
was True (interruptions allowed), removing the guards keeps the current
default behavior.
The location and project_id fields were deprecated since 0.0.90 in
favor of direct __init__ parameters. Now that InputParams is removed,
project_id is required and location defaults to "us-east4" directly
in the signature.
Override _update_settings in CartesiaTTSService to flush the current
audio context and assign a new turn context ID when voice, model, or
language settings change. This prevents Context has closed errors
from Cartesia API, which locks these parameters per context.
Remove the deprecated text_aggregator parameter from TTSService,
CartesiaTTSService, and RimeTTSService, and the deprecated text_filter
parameter from TTSService. Users should use LLMTextProcessor before
the TTS service instead. Update the voice-switching example to use
LLMTextProcessor with PatternPairAggregator.
Change the default from 10s to None so deferred function calls can run
indefinitely when no timeout is configured. Only create the timeout
task when a timeout is actually provided (per-call or service-level).
Add SmallestSTTService using the Pulse WebSocket API for real-time
transcription. Includes SmallestSTTSettings dataclass, 32-language
support with resolve_language fallback, VAD-driven finalize signal,
and SMALLEST_TTFS_P99 latency constant.
Also adds X-Source and X-Pipecat-Version headers to Smallest STT
and TTS WebSocket connections.
Now that LLMContextFrame is the only frame that provides a context,
remove the intermediate `context = None` / `if context:` pattern
and handle context processing directly in the isinstance branch.
