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feat(chat): wire SentenceAssembler into chat/runtime — coherent surface sentences

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Refactor sentence assembly to use SentenceAssembler for coherent sentence generation.
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Shay 2026-05-14 13:23:21 -07:00 committed by GitHub
parent 565c48bdf0
commit 9ee27e0792
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1 changed files with 10 additions and 4 deletions
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14
chat/runtime.py
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@ -24,6 +24,7 @@ from generate.articulation import ArticulationPlan, realize
from generate.dialogue import DialogueRole, classify_dialogue_blade, propose_dialogue
from generate.proposition import FrameRegistry, Proposition, propose
from generate.stream import generate
from generate.surface import SentenceAssembler, SentencePlan
from language_packs import OOVPolicy, load_mounted_packs, load_pack, load_pack_entries
from persona.motor import PersonaMotor
from session.context import SessionContext
@ -357,11 +358,16 @@ class ChatRuntime:
)
self._context.turn += 1
guarded = self._syntactic_guard(result.tokens)
walk_surface = " ".join(guarded)
# Assemble a coherent sentence from the articulation plan + walk tokens.
sentence_plan: SentencePlan = SentenceAssembler().assemble(
articulation,
result.tokens,
role=dialogue_role,
)
walk_surface = sentence_plan.surface
# If flagged, suppress walk and fall back to articulation surface.
surface = articulation.surface if flagged else (articulation.surface or walk_surface)
# If identity check flagged the response, fall back to bare articulation surface.
surface = articulation.surface if flagged else walk_surface
# Count vault hits that fired this turn (recall_top_k is the ceiling).
vault_hits = 3 if self.config.allow_cross_language_recall else 0