feat(ai): 新增 NVIDIA Nemotron 到告警 Fallback Chain

- 新增 _call_nvidia() 一般告警支援 (非 Tool Calling)
- Fallback 順序: Gemini → Nvidia → Ollama → Claude
- Nvidia 免費 tier ($0)，含 Token 追蹤

解決: Gemini 超限 (500/500) 後無法 fallback 問題

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

apps/api/src/services/openclaw.py

@@ -461,6 +461,65 @@ class OpenClawService:
             logger.warning("claude_call_failed", error=str(e))
             return str(e), False
 
+    async def _call_nvidia(self, prompt: str) -> tuple[str, bool, int, float]:
+        """
+        呼叫 NVIDIA Nemotron (OpenAI 相容格式)
+
+        2026-03-29 ogt: 新增 Nemotron 一般告警支援 (非 Tool Calling)
+
+        Returns:
+            tuple: (response_text, success, total_tokens, cost_usd)
+        """
+        if not settings.NVIDIA_API_KEY:
+            return "NVIDIA_API_KEY not configured", False, 0, 0.0
+
+        try:
+            client = await self._get_client()
+
+            # Nemotron 模型
+            model_name = "nvidia/llama-3.1-nemotron-70b-instruct"
+
+            response = await client.post(
+                "https://integrate.api.nvidia.com/v1/chat/completions",
+                headers={
+                    "Authorization": f"Bearer {settings.NVIDIA_API_KEY}",
+                    "Content-Type": "application/json",
+                },
+                json={
+                    "model": model_name,
+                    "messages": [{"role": "user", "content": prompt}],
+                    "temperature": 0.1,
+                    "max_tokens": 2048,
+                    "response_format": {"type": "json_object"},  # 強制 JSON
+                },
+                timeout=60.0,
+            )
+            response.raise_for_status()
+            data = response.json()
+
+            text = data["choices"][0]["message"]["content"]
+
+            # Token 用量
+            usage = data.get("usage", {})
+            prompt_tokens = usage.get("prompt_tokens", 0)
+            completion_tokens = usage.get("completion_tokens", 0)
+            total_tokens = usage.get("total_tokens", prompt_tokens + completion_tokens)
+
+            # NVIDIA NIM 免費 tier = $0
+            cost_usd = 0.0
+
+            logger.info(
+                "nvidia_response_received",
+                response_length=len(text),
+                total_tokens=total_tokens,
+                cost_usd=f"${cost_usd:.6f}",
+            )
+            return text, True, total_tokens, cost_usd
+
+        except Exception as e:
+            logger.warning("nvidia_call_failed", error=str(e))
+            return str(e), False, 0, 0.0
+
     # =========================================================================
     # Mock LLM - Intelligent Fallback with SignOz Data
     # =========================================================================
@@ -876,6 +935,9 @@ class OpenClawService:
                     response, success = await self._call_ollama(prompt)
                 elif provider == "gemini":
                     response, success, total_tokens, cost_usd = await self._call_gemini(prompt)
+                elif provider == "nvidia":
+                    # 2026-03-29 ogt: Nemotron 一般告警支援
+                    response, success, total_tokens, cost_usd = await self._call_nvidia(prompt)
                 elif provider == "claude":
                     response, success = await self._call_claude(prompt)
                 else:

k8s/awoooi-prod/04-configmap.yaml

@@ -1,8 +1,8 @@
 # AWOOOI 正式環境 ConfigMap
 # 負責人: CIO
 # 版本: v1.1
-# 日期: 2026-03-27 (台北時區)
-# 變更: Gemini 優先 (臨時，待 Ollama CPU 問題修復後切回)
+# 日期: 2026-03-29 (台北時區)
+# 變更: Gemini 優先 + Token/Cost 追蹤
 
 apiVersion: v1
 kind: ConfigMap
@@ -34,10 +34,10 @@ data:
   CORS_ORIGINS: '["https://awoooi.wooo.work","http://localhost:3000","http://localhost:3001"]'
 
   # AI 配置 (JSON array 格式 for pydantic-settings)
-  # 2026-03-29 ogt: 切換 Gemini 優先 (確認 AI 仲裁運作正常)
-  # 備援順序: Gemini(~$0.001) → Ollama($0) → Claude(~$0.008)
+  # 2026-03-29 ogt: Gemini 優先 + Nvidia 備援 + Token/Cost 追蹤
+  # 備援順序: Gemini(~$0.001) → Nvidia($0 免費tier) → Ollama($0) → Claude(~$0.008)
   # Rate Limiter: RPM=10, 每日 500 次, Token 100K
-  AI_FALLBACK_ORDER: '["gemini","ollama","claude"]'
+  AI_FALLBACK_ORDER: '["gemini","nvidia","ollama","claude"]'
   AI_CACHE_TTL: "3600"
 
   # 快取 TTL (秒)