Skipped frames (e.g. code blocks filtered via skip_aggregator_types) were
emitted to the assistant context immediately instead of waiting for preceding
spoken frames to finish. Introduces AggregatedFrameSequencer to hold each
frame's slot and flush only after all earlier spoken sentences are complete,
keeping context ordering correct.
Mirrors the deprecation in ``OpenAITTSService.__init__``: ``instructions``
is now a Settings field. The constructor still accepts it for backward
compatibility but the canonical path is through ``Settings``.
A copy of ``turn-management-filter-incomplete-turns.py`` extended with
a ``get_weather(location)`` direct function. Exercises the path where
the LLM responds to a complete user turn by calling a tool — used to
reproduce (and now verify the fix for) the ``_user_speaking`` gating
bug between filter-incomplete and function calls.
With ``filter_incomplete_user_turns`` enabled, an LLM that responded to
a user turn by calling a tool (without first emitting a ✓ marker)
never finalized the user turn. ``UserStoppedSpeakingFrame`` stayed
deferred, the assistant aggregator kept ``_user_speaking=True``, and
when ``FunctionCallResultFrame`` arrived its ``not self._user_speaking``
gate dropped the context push — the LLM continuation never ran and
the call hung silently.
Broadcast ``UserTurnInferenceCompletedFrame`` on
``FunctionCallsStartedFrame`` (i.e. the moment the LLM commits to a
tool call, before the function dispatches), gated by a new
``_turn_completion_broadcasted`` flag so the ✓ path and the tool-call
path don't both fire. The flag resets in ``_turn_reset`` alongside
the other per-turn state.
Emitting on the start frame rather than ``LLMFullResponseEndFrame``
also shrinks the race window — ``UserStoppedSpeakingFrame`` (a
``SystemFrame``) has the maximum possible head start over the
``FunctionCallResultFrame`` (``DataFrame``) that follows.
Drop the EU-region default from the STT/TTS WebSocket URLs in favor of
the generic api.gradium.ai endpoint, and remove the explicit overrides
from the examples so they pick up the new defaults.
Mirrors the deprecation in ``QwenLLMService.__init__``: ``model`` should
be passed via ``settings=QwenLLMService.Settings(model=...)`` instead of
as a direct constructor arg.
TTS services whose wire protocol does not echo the context_id back on
incoming audio (Sarvam, Smallest, Soniox, Inworld, ...) call
``get_active_audio_context_id()`` to tag each chunk. That accessor
returned only ``_playing_context_id`` — the playback-side cursor set
asynchronously by ``_audio_context_task_handler`` when it pops a context
off the serialization queue.
Result: incoming audio that arrived in the gap between contexts or at
the very start of a turn (before the playback loop popped) had
``context_id=None`` and was dropped with
``unable to append audio to context: no context ID provided``.
Fall back to ``_turn_context_id`` (the synthesis-side cursor, set as
soon as the turn's context is created) so the gap is covered without
prematurely nulling the playback cursor.
- Replace custom LANGUAGE_MAP fallback in language_to_inworld_language with
resolve_language(language, LANGUAGE_MAP, use_base_code=False) to match the
pattern used by other services and restore the unverified-language warning
- Tighten delivery_mode type from str to Literal["STABLE", "BALANCED", "CREATIVE"]
- Update changelog entry to mention delivery_mode and language normalization
