Fixes a real bug: with `filter_incomplete_user_turns` enabled, the
smart-turn detector's tentative stop was firing `on_user_turn_stopped`
before the LLM had a chance to veto it. Observers, transcript
appenders and UI indicators received an early — and sometimes
duplicated — signal.
Decomposes the single stop concern into two events:
- `on_user_turn_inference_triggered` fires when a stop strategy has
enough signal to start LLM inference. The aggregator pushes the
context here, kicking off the LLM call.
- `on_user_turn_stopped` fires only when the user turn is semantically
final. Built-in strategies fire both events at the same call site,
preserving today's behavior for the common case.
Adds `LLMTurnCompletionUserTurnStopStrategy`, which gates
finalization on a `UserTurnCompletedFrame` (a fieldless system frame
emitted by any component judging turn completeness — currently the
`UserTurnCompletionLLMServiceMixin` on `✓`).
Adds `deferred(strategy)` / `DeferredUserTurnStopStrategy`, a thin
wrapper that forwards an inner strategy's events except
`on_user_turn_stopped`. Use this to install a stop strategy as an
inference trigger only, leaving finalization to a peer (e.g. the LLM
completion strategy).
Adds `llm_completion_user_turn_stop_strategies()` for the common
case:
UserTurnStrategies(
stop=llm_completion_user_turn_stop_strategies(),
)
Deprecates `LLMUserAggregatorParams.filter_incomplete_user_turns`.
The aggregator emits a `DeprecationWarning`, wraps existing stop
strategies with `deferred(...)`, and appends
`LLMTurnCompletionUserTurnStopStrategy` automatically.
Adds an explicit Code Style bullet for the `.. deprecated::` Sphinx
directive (forbidding inline `[DEPRECATED]` tags) and extends the
Docstring Example with a Pydantic params class showing the directive
inside a `Parameters:` block — the context CONTRIBUTING.md's existing
example didn't cover.
Replaces the inline `[DEPRECATED]` tag with a `.. deprecated:: 1.1.0`
directive per CONTRIBUTING.md docstring conventions, so the deprecation
shows up properly in the rendered docs.
When a non-uninterruptible frame was being processed slowly and an
uninterruptible frame was waiting in the queue, _start_interruption
skipped task cancellation. This caused interruptions to stall until
the slow frame finished, even though it had no reason to block them.
The fix: only skip cancellation when the *current* frame is
uninterruptible. Uninterruptible frames already in the queue are
preserved regardless, because __create_process_task calls
__reset_process_queue internally, which always retains them.
Fixes: https://github.com/pipecat-ai/pipecat/issues/4412
grok-3 is being retired from the xAI API on May 15, 2026. Switch the
default to grok-4.20-non-reasoning, which xAI recommends for non-reasoning
workloads and is appropriate for real-time voice AI.
PR #4344 unconditionally switched to normalizedAlignment to fix garbled
words with pronunciation dictionaries (#4316). But normalizedAlignment
returns the post-normalized form of what was spoken - including
romanization of non-Latin scripts (Chinese rendered as pinyin), which
ends up in the LLM context and degrades subsequent turns.
Gate the switch on pronunciation_dictionary_locators being configured.
Adds a _select_alignment helper with preferred-with-fallback (both
fields are nullable per the API schema), used by both the WebSocket
and HTTP services. Tests cover dictionary mode, default mode, fallback
when preferred is missing or null, and HTTP field-name variants.
