diff --git a/apps/api/models.json b/apps/api/models.json
index 5f6446e2..57333ee0 100644
--- a/apps/api/models.json
+++ b/apps/api/models.json
@@ -1,9 +1,9 @@
 {
   "$schema": "https://json-schema.org/draft/2020-12/schema",
   "name": "OpenClaw AI Router Configuration",
-  "version": "1.3.0",
-  "description": "AI 模型路由與備援設定 (ADR-006 + ADR-036 Nemotron + D1 ADR-067 五大應用 2026-04-11)",
-  "updated_at": "2026-04-11",
+  "version": "1.4.0",
+  "description": "AI 模型路由與備援設定 (ADR-006 + ADR-036 Nemotron + D1 ADR-067 五大應用 2026-04-11 + ADR-110 GCP 三層容災 2026-05-04)",
+  "updated_at": "2026-05-04",
 
   "default_provider": "ollama",
   "fallback_order": ["ollama", "gemini", "claude"],
@@ -11,24 +11,28 @@
 
   "providers": {
     "ollama": {
-      "name": "Ollama (Local M1 Pro)",
+      "name": "Ollama (GCP-A Primary)",
       "enabled": true,
       "priority": 1,
-      "endpoint": "http://192.168.0.111:11434",
+      "endpoint": "http://34.143.170.20:11434",
       "api_path": "/api/generate",
       "models": {
         "default": "qwen2.5:7b-instruct",
-        "rca": "qwen2.5:7b-instruct",
+        "rca": "qwen3:14b",
         "summary": "gemma3:4b",
-        "drift_summary": "qwen2.5:7b-instruct",
+        "drift_summary": "qwen3:14b",
         "drift_intent": "qwen2.5:7b-instruct",
         "log_anomaly": "deepseek-r1:14b",
         "nemoclaw": "deepseek-r1:14b",
-        "playbook_draft": "qwen2.5:7b-instruct",
-        "code_review": "qwen2.5-coder:7b",
-        "embedding": "nomic-embed-text",
-        "rag_generate": "qwen2.5:7b-instruct",
-        "image_analysis": "llava:latest"
+        "playbook_draft": "qwen3:14b",
+        "code_review": "qwen2.5-coder:32b",
+        "embedding": "bge-m3:latest",
+        "rag_generate": "qwen3:14b",
+        "image_analysis": "minicpm-v:latest",
+        "trust_scoring": "hermes3:latest",
+        "alert_triage": "hermes3:latest",
+        "intent_classify": "qwen2.5:7b-instruct",
+        "governance": "deepseek-r1:14b"
       },
       "options": {
         "temperature": 0.1,
@@ -154,12 +158,12 @@
   },
 
   "adr067_ollama_applications": {
-    "description": "ADR-067 五大 Ollama 本地 AI 應用 (Phase 30-34)，endpoint: http://192.168.0.111:11434",
-    "endpoint": "http://192.168.0.111:11434",
+    "description": "ADR-067 五大 Ollama 本地 AI 應用 (Phase 30-34)，2026-05-04 ogt + Claude Sonnet 4.6: endpoint 升級至 GCP-A Primary",
+    "endpoint": "http://34.143.170.20:11434",
     "applications": {
       "drift_summary": {
         "phase": 30,
-        "model": "qwen2.5:7b-instruct",
+        "model": "qwen3:14b",
         "timeout_seconds": 90,
         "purpose": "Config Drift 報告中文摘要"
       },
@@ -171,28 +175,28 @@
       },
       "pr_code_review": {
         "phase": 32,
-        "model": "qwen2.5-coder:7b",
+        "model": "qwen2.5-coder:32b",
         "timeout_seconds": 120,
         "purpose": "Gitea PR 自動審查"
       },
       "rag_embed": {
         "phase": 33,
-        "model": "nomic-embed-text",
-        "dimensions": 768,
+        "model": "bge-m3:latest",
+        "dimensions": 1024,
         "timeout_seconds": 30,
-        "purpose": "RAG 知識庫向量化，pgvector 儲存"
+        "purpose": "RAG 知識庫向量化，pgvector 儲存（bge-m3 多語言 1024 維）"
       },
       "rag_generate": {
         "phase": 33,
-        "model": "qwen2.5:7b-instruct",
+        "model": "qwen3:14b",
         "timeout_seconds": 60,
         "purpose": "RAG 查詢回答生成，top_k=5"
       },
       "image_analysis": {
         "phase": 34,
-        "model": "llava:latest",
+        "model": "minicpm-v:latest",
         "timeout_seconds": 60,
-        "purpose": "Telegram 圖片分析"
+        "purpose": "Telegram 圖片分析（minicpm-v 多模態精度優於 llava）"
       }
     }
   },
diff --git a/apps/api/src/core/config.py b/apps/api/src/core/config.py
index 033fabb0..edb5f94e 100644
--- a/apps/api/src/core/config.py
+++ b/apps/api/src/core/config.py
@@ -376,8 +376,9 @@ class Settings(BaseSettings):
         description="OllamaHealthMonitor 推理測試使用模型（P1.1）",
     )
     # 2026-04-12 ogt: 心跳必須確認載入的 Ollama 模型清單
+    # 2026-05-04 ogt + Claude Sonnet 4.6: ADR-110 GCP 升級，更新必要模型清單（nomic→bge-m3 + 新增 qwen3:14b + hermes3）
     OLLAMA_REQUIRED_MODELS: list[str] = Field(
-        default=["nomic-embed-text", "qwen2.5:7b-instruct", "deepseek-r1:14b"],
+        default=["bge-m3:latest", "qwen2.5:7b-instruct", "qwen3:14b", "deepseek-r1:14b", "hermes3:latest"],
         description="HeartbeatReportService 探測必要模型是否載入",
     )
     # 2026-04-25 critic-fix Part2 H7 by Claude Engineer-C2
@@ -492,8 +493,9 @@ class Settings(BaseSettings):
         default=True,
         description="使用 Ollama 本機做 Tool Calling，取代 NVIDIA NIM 雲端 (44s→5s)",
     )
+    # 2026-05-04 ogt + Claude Sonnet 4.6: ADR-110 GCP 升級，改 hermes3:latest（工具調用能力優於 llama3.1:8b）
     OLLAMA_TOOL_MODEL: str = Field(
-        default="llama3.1:8b",
+        default="hermes3:latest",
         description="Ollama Tool Calling 模型 (支援 function calling 格式)",
     )
 
@@ -571,8 +573,9 @@ class Settings(BaseSettings):
         default="http://192.168.0.188:8088",  # 🔧 修正: OpenClaw 實際 port 是 8088
         description="OpenClaw AI Agent service URL",
     )
+    # 2026-05-04 ogt + Claude Sonnet 4.6: ADR-110 GCP 升級，改 qwen3:14b（GCP-A SSD 算力，RCA 推理更強）
     OPENCLAW_DEFAULT_MODEL: str = Field(
-        default="qwen2.5:7b-instruct",  # 2026-04-30: DIAGNOSE/RCA 優先低延遲本地模型
+        default="qwen3:14b",
         description="Default Ollama model for RCA analysis",
     )
     OPENCLAW_TIMEOUT: int = Field(