Add tests for LLMRunFrame, LLMMessagesAppendFrame, LLMMessagesUpdateFrame,
and LLMMessagesTransformFrame sent upstream to LLMAssistantAggregator,
mirroring the existing LLMUserAggregator downstream tests. Add
frames_to_send_direction param to run_test helper to support this.
The previous approach required the caller to directly grab a reference to the context object, grab a "snapshot" of its messages *at that point in time*, transform the messages, and then push an `LLMMessagesUpdateFrame` with the transformed messages. This approach can lead to problems: what if there had already been a change to the context queued in the pipeline? The transformed messages would simply overwrite it without consideration.
Remove stale riva mock imports from autodoc_mock_imports since the riva
service was removed and nvidia-riva-client is installed during doc builds.
Add pipecat.turns and pipecat.extensions to import_core_modules() and
add Turns to the index.rst toctree. Regenerate uv.lock to reflect the
riva extra removal from pyproject.toml.
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.
