런타임 계약과 학습자 흐름 보강

apps/api/app/routes/eval.py

@@ -137,14 +137,11 @@ async def reevaluate_session(
         raise HTTPException(status.HTTP_503_SERVICE_UNAVAILABLE, detail=result.error)
 
     await session_persistence.save_session_evaluation(
-        session_id=session_id,
-        learner_id=sess.learner_id,
-        status="error" if result.error else "ready",
-        source="engine",
-        scope=result.scope,
-        stage=result.stage,
-        payload=result.to_dict(),
-        error=result.error,
+        session_persistence.SessionEvaluationWrite.from_result(
+            session_id=session_id,
+            learner_id=sess.learner_id,
+            result=result,
+        )
     )
     return result
 
@@ -182,7 +179,7 @@ async def reevaluate_turn(
         client_reply = sess.turns[target_idx + 1].text_masked
 
     # 평가용 경량 TurnContext 재구성(prepare_turn 의 결정론 산출과 동형). 엔진 호출 없음.
-    from ..services.orchestrator import TurnContext  # 지연 import(소유권 경계)
+    from ..services.orchestrator import TurnContext, TurnMemory  # 지연 import(소유권 경계)
 
     recent = [
         {"speaker": tr.speaker, "text": tr.text_masked} for tr in sess.turns[max(0, target_idx - 4):target_idx]
@@ -195,7 +192,7 @@ async def reevaluate_turn(
         learner_text_raw=learner.text,
         learner_text_masked=learner.text_masked,
         state_after=sess.state,  # 조회 시점 상태(정밀 재현은 DB 스냅샷 도입 시)
-        recent_turns=recent,
+        memory=TurnMemory(recent_turns=recent),
     )
 
     result = await evaluator.evaluate_turn(