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fix(generate): close final generation field before return

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Shay 2026-05-15 23:20:49 -07:00
parent 5af7a4d750
commit 2aeb6f31dc
1 changed files with 17 additions and 5 deletions
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22
generate/stream.py
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@ -4,10 +4,10 @@ Generation loop — token streaming from the versor manifold.
Every token: nearest non-current word to current F via CGA inner product. Every token: nearest non-current word to current F via CGA inner product.
Every step: F <- versor_apply(V, F) where V = word_transition_rotor(A, B). Every step: F <- versor_apply(V, F) where V = word_transition_rotor(A, B).
Generation is not a normalization boundary. Raw prompt normalization belongs Generation is not a raw prompt normalization boundary. Raw prompt normalization
at ingest/gate.py; construction normalization belongs in algebra/vocab/persona. belongs at ingest/gate.py; construction normalization belongs in algebra/vocab/persona.
If vault recall returns a non-operator-like field that cannot form a stable The generation surface still owns its public result contract: the final field
transition, recall skips that hit instead of repairing it here. returned to chat/cognition must satisfy the runtime versor invariant.
""" """
from __future__ import annotations from __future__ import annotations
@ -18,6 +18,7 @@ import numpy as np
from field.state import FieldState from field.state import FieldState
from field.propagate import propagate_step from field.propagate import propagate_step
from algebra.rotor import word_transition_rotor from algebra.rotor import word_transition_rotor
from algebra.versor import unitize_versor
from generate.attention import AttentionOperator from generate.attention import AttentionOperator
from generate.result import GenerationResult from generate.result import GenerationResult
from generate.salience import SalienceOperator from generate.salience import SalienceOperator
@ -115,6 +116,17 @@ def _voiced_state(state: FieldState, persona) -> FieldState:
) )
def _close_final_state(state: FieldState) -> FieldState:
return FieldState(
F=unitize_versor(state.F),
node=state.node,
step=state.step,
holonomy=state.holonomy,
energy=state.energy,
valence=state.valence,
)
def _recall_state(state: FieldState, vault, top_k: int) -> tuple[FieldState, int]: def _recall_state(state: FieldState, vault, top_k: int) -> tuple[FieldState, int]:
if vault is None or top_k <= 0: if vault is None or top_k <= 0:
return state, 0 return state, 0
@ -252,7 +264,7 @@ def generate(
return GenerationResult( return GenerationResult(
tokens=tokens, tokens=tokens,
final_state=current, final_state=_close_final_state(current),
trajectory=trajectory, trajectory=trajectory,
salience_top_k=salience_budget, salience_top_k=salience_budget,
candidates_used=candidates_used, candidates_used=candidates_used,