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fix: scale FM window in _apply_fidelity to match real API pressure

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_apply_fidelity checked fm.current_pressure() which uses internal
object tokens (tiny) / 200k window = always NORMAL. Now scales
window_size using last_effective token count so FM pressure matches
real context usage, enabling L0->L1->L2 degradations.
This commit is contained in:
Joey Yakimowich-Payne 2026-03-15 08:27:05 -06:00
commit 225b9b30f1
1 changed files with 16 additions and 2 deletions
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18
src/mnemosyne/gateway.py
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@ -1414,8 +1414,22 @@ def _apply_fidelity(payload: dict, session: "Session") -> None:
obj_id = fm.register_object(obj)
content_map[key] = obj_id
# Check pressure and log
pressure = fm.current_pressure()
# Check pressure and log.
# Scale window_size so FM's internal pressure matches real API pressure.
# (Same fix as _update_fidelity_pressure — FM's total_tokens() is only
# a fraction of the real context, so internal pressure is always NORMAL.)
obj_tokens = fm.total_tokens()
if obj_tokens > 0 and fm.window_size > 0:
real_pressure_ratio = session.token_state.get("last_effective", 0) / fm.window_size
if real_pressure_ratio > 0:
saved_ws = fm.window_size
fm.window_size = max(1, int(obj_tokens / real_pressure_ratio))
pressure = fm.current_pressure()
fm.window_size = saved_ws
else:
pressure = fm.current_pressure()
else:
pressure = fm.current_pressure()
if pressure > PressureZone.NORMAL:
transitions = fm.degrade(turn)
for obj_id, old_level, new_level in transitions: