feat(governance): show knowledge degradation ownership

apps/api/src/services/failover_alerter.py

@@ -367,6 +367,7 @@ _TOP_LEVEL_FALLBACK_KEEP: dict[str, set[str]] = {
         "automatable_work",
         "next_action",
         "next_step",
+        "ownership",
         "ratio",
         "stale",
         "stale_count",
@@ -543,6 +544,51 @@ def _governance_operator_context(event_type: str, impact: dict[str, Any]) -> lis
     ]
 
 
+def _governance_ownership_lines(event_type: str, payload: dict[str, Any]) -> list[str]:
+    """Return explicit agent ownership for governance alerts."""
+    ownership = _as_dict(payload.get("ownership"))
+
+    if not ownership and event_type == "knowledge_degradation":
+        ownership = {
+            "lead_agent": "Hermes",
+            "lead_reason": "E7 自動 KM 主責：反查 Incident / Sentry / SigNoz / PlayBook，產生 KM 更新草稿與任務。",
+            "support_agents": [
+                "OpenClaw：提供告警分類、規則匹配與 PlayBook 脈絡摘要，不直接批量改寫 KM。",
+                "ElephantAlpha：read-only 稽核高影響 KM 草稿與風險，不執行寫入或通知。",
+            ],
+            "human_owner": "KM owner / SRE owner",
+            "human_reason": "審核高影響 KM 後才允許寫入，避免 AI 自動固化錯誤知識。",
+        }
+
+    if not ownership:
+        return []
+
+    rows: list[str] = []
+    lead_agent = ownership.get("lead_agent")
+    lead_reason = ownership.get("lead_reason")
+    if lead_agent:
+        lead_text = f"主責：{lead_agent}"
+        if lead_reason:
+            lead_text += f" — {lead_reason}"
+        rows.append(lead_text)
+
+    support_agents = ownership.get("support_agents")
+    if isinstance(support_agents, list):
+        rows.extend(str(item) for item in support_agents if item)
+
+    human_owner = ownership.get("human_owner")
+    human_reason = ownership.get("human_reason")
+    if human_owner:
+        human_text = f"人工覆核：{human_owner}"
+        if human_reason:
+            human_text += f" — {human_reason}"
+        rows.append(human_text)
+
+    if not rows:
+        return []
+    return ["", "👥 *負責分工*", _tree_lines(rows)]
+
+
 def format_governance_alert_card(event_type: str, payload: dict[str, Any]) -> str:
     """格式化 AI 治理 Telegram 卡片。
 
@@ -571,6 +617,7 @@ def format_governance_alert_card(event_type: str, payload: dict[str, Any]) -> st
     ]
 
     sections.extend(_governance_operator_context(event_type, impact))
+    sections.extend(_governance_ownership_lines(event_type, payload))
 
     impact_lines = _governance_summary_lines(event_type, impact)
     if impact_lines:

apps/api/src/services/governance_agent.py

@@ -224,6 +224,16 @@ class GovernanceAgent:
                         ],
                         "next_action": "run_kb_growth_healthcheck",
                     },
+                    "ownership": {
+                        "lead_agent": "Hermes",
+                        "lead_reason": "E7 自動 KM 主責：反查 Incident / Sentry / SigNoz / PlayBook，產生 KM 更新草稿與任務。",
+                        "support_agents": [
+                            "OpenClaw：提供告警分類、規則匹配與 PlayBook 脈絡摘要，不直接批量改寫 KM。",
+                            "ElephantAlpha：read-only 稽核高影響 KM 草稿與風險，不執行寫入或通知。",
+                        ],
+                        "human_owner": "KM owner / SRE owner",
+                        "human_reason": "審核高影響 KM 後才允許寫入，避免 AI 自動固化錯誤知識。",
+                    },
                     "actionable": {
                         "items": [
                             "每日檢查 ANTI_PATTERN 更新結果",