feat(D1): models.json 集中化 — ADR-067 五大 Ollama 應用 hardcode 消除

- models.json v1.3.0: providers.ollama.models 新增 9 個 purpose keys
  (drift_summary/drift_intent/log_anomaly/nemoclaw/playbook_draft/
   code_review/embedding/rag_generate/image_analysis)
- drift_narrator_service: NARRATOR_MODEL → get_model("ollama","drift_summary")
- drift_interpreter: MODEL → get_model("ollama","drift_intent")
- log_summary_service: SUMMARY_MODEL → get_model("ollama","log_anomaly")
- local_code_review_service: _MODEL_OLLAMA → get_model("ollama","code_review")
- image_analysis_service: _MODEL → get_model("ollama","image_analysis")
- decision_manager: nemoclaw + playbook_draft 兩處 → get_model()
- embedding_service: get_embedding_service() factory → get_model("ollama","embedding")
- knowledge_service: OllamaEmbeddingService(model=...) → get_model()

所有模型名稱現在統一由 models.json 管理，修改模型只需改一個檔案。
LOGBOOK 更新：D1 完成 + B2 已完成確認

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

apps/api/src/services/decision_manager.py

@@ -332,8 +332,10 @@ async def _nemoclaw_second_opinion(incident: "Incident", primary_result: dict) -
         from src.core.config import settings
         import httpx as _httpx
 
+        from src.services.model_registry import get_model as _get_model
         ollama_url = getattr(settings, "OLLAMA_URL", "http://192.168.0.188:11434")
-        model = "deepseek-r1:14b"
+        # D1 集中化 2026-04-11: 從 models.json providers.ollama.models.nemoclaw 讀取
+        model = _get_model("ollama", "nemoclaw")
 
         signals_summary = ""
         if incident.signals:
@@ -423,11 +425,14 @@ async def _generate_playbook_draft_if_new(incident: "Incident") -> None:
             f"## 驗收條件\n（如何確認修復成功）"
         )
 
+        from src.services.model_registry import get_model as _get_model
         ollama_url = getattr(settings, "OLLAMA_URL", "http://192.168.0.188:11434")
+        # D1 集中化 2026-04-11: 從 models.json providers.ollama.models.playbook_draft 讀取
+        _pb_model = _get_model("ollama", "playbook_draft")
         async with _httpx.AsyncClient(timeout=45.0) as client:
             resp = await client.post(
                 f"{ollama_url}/api/generate",
-                json={"model": "qwen2.5:7b-instruct", "prompt": prompt, "stream": False},
+                json={"model": _pb_model, "prompt": prompt, "stream": False},
             )
             resp.raise_for_status()
             content = resp.json().get("response", "").strip()