feat(Phase 3): AgentSession 學習接線 — record_agent_session() + orchestrator 辯證訊號

- learning_service.py: 新增 record_agent_session() — 5-Agent 辯證結果 → Redis analytics
  Critic 質疑 + matched_playbook_id → 輕度負向 EWMA；all_agents_degraded 記錄治理事件
- agent_orchestrator.py: run_agent_debate() 完成後 best-effort 呼叫 record_agent_session()
  Phase 3 L7×D2 學習訊號全部接線完成

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

apps/api/src/services/agent_orchestrator.py

@@ -117,6 +117,31 @@ async def run_agent_debate(
             status=package.session_status.value,
             elapsed_ms=elapsed,
         )
+
+        # ADR-083 Phase 3: 辯證結果學習訊號接線（L7×D2）
+        # best-effort — 學習失敗不阻塞主流程
+        # 2026-04-15 ogt + Claude Sonnet 4.6（亞太）
+        try:
+            from src.services.learning_service import get_learning_service
+            _critic_challenges = (
+                package.critic_report.challenge_count
+                if package.critic_report else 0
+            )
+            await get_learning_service().record_agent_session(
+                session_id=session_id,
+                incident_id=incident_id,
+                final_confidence=package.confidence,
+                requires_human_approval=package.requires_human_approval,
+                all_agents_degraded=package.all_agents_degraded,
+                critic_challenge_count=_critic_challenges,
+            )
+        except Exception as _lerr:
+            logger.warning(
+                "agent_session_learning_failed",
+                session_id=session_id,
+                error=str(_lerr),
+            )
+
         return package
 
     except asyncio.TimeoutError:

apps/api/src/services/learning_service.py

@@ -749,6 +749,71 @@ class LearningService:
             matched_playbook_id=matched_playbook_id,
         )
 
+    async def record_agent_session(
+        self,
+        session_id: str,
+        incident_id: str,
+        final_confidence: float,
+        requires_human_approval: bool,
+        all_agents_degraded: bool,
+        critic_challenge_count: int,
+        matched_playbook_id: str | None = None,
+    ) -> None:
+        """
+        記錄 5-Agent 辯證 Session 的學習訊號。
+
+        ADR-083 Phase 3: AgentSession 學習接線（L7×D2）。
+        DB 持久化由 agent_orchestrator._write_agent_turn() 負責，
+        此方法負責從辯證結果提取學習訊號（Redis analytics + Playbook EWMA）。
+
+        信號邏輯：
+        - all_agents_degraded=True → 系統品質警報（記錄到 Redis governance）
+        - critic_challenge_count > 0 AND matched_playbook_id → 輕度負向 EWMA（Critic 質疑 Playbook）
+        - requires_human_approval=True → 信心不足，系統整體品質下降紀錄
+
+        Args:
+            session_id:                辯證 Session ID
+            incident_id:               關聯 Incident ID
+            final_confidence:          Coordinator 最終信心分數（0-1）
+            requires_human_approval:   是否升級人工審核
+            all_agents_degraded:       是否全部 Agent 降級
+            critic_challenge_count:    Critic 提出的質疑數量
+            matched_playbook_id:       本次決策匹配的 Playbook（若有）
+
+        2026-04-15 ogt + Claude Sonnet 4.6（亞太）: Phase 3 AgentSession 學習接線
+        """
+        # 1. 記錄辯證品質到 Redis（供 SLO 監控 + Governance 分析）
+        try:
+            await self._repository.record_repair(
+                anomaly_key=f"debate:{incident_id}",
+                repair_action=f"session:{session_id[:8]}",
+                success=not requires_human_approval,
+                fix_description=f"confidence={final_confidence:.2f},degraded={all_agents_degraded},critic_challenges={critic_challenge_count}",
+            )
+        except Exception as e:
+            logger.warning(
+                "record_agent_session_to_repo_failed",
+                session_id=session_id,
+                error=str(e),
+            )
+
+        # 2. Critic 有重大質疑 + 有匹配 Playbook → 輕度負向 EWMA（Playbook 可能不準確）
+        if critic_challenge_count > 0 and matched_playbook_id:
+            await self._update_playbook_stats(
+                playbook_id=matched_playbook_id,
+                success=False,
+            )
+
+        logger.info(
+            "agent_session_recorded",
+            session_id=session_id,
+            incident_id=incident_id,
+            final_confidence=final_confidence,
+            requires_human_approval=requires_human_approval,
+            all_agents_degraded=all_agents_degraded,
+            critic_challenge_count=critic_challenge_count,
+        )
+
     async def get_recommended_fix(self, anomaly_key: str) -> dict:
         """
         根據歷史學習，推薦最佳修復方案