fix: store_conversation signature, MCP model, and AI fallback message

routes/openclaw_bot_routes.py

@@ -4111,7 +4111,7 @@ def openclaw_answer(question: str):
                 if _LEARNING_ENABLED:
                     import threading as _thr
                     _thr.Thread(target=store_conversation,
-                        args=(0, 0, question, resp.content, "ollama", []),
+                        args=(chat_id, question, resp.content),
                         daemon=True).start()
                 return resp.content, None
             else:
@@ -4212,7 +4212,7 @@ def openclaw_answer(question: str):
                 if _LEARNING_ENABLED:
                     import threading as _thr
                     _thr.Thread(target=store_conversation,
-                        args=(0, 0, question, final, ",".join(used_sources), used_sources),
+                        args=(chat_id, question, final),
                         daemon=True).start()
                 return final, None
 
@@ -4272,7 +4272,7 @@ def openclaw_answer(question: str):
         except Exception as e:
             sys_log.error(f"[FC] NIM fallback error: {e}")
 
-    return "（AI 引擎暫時無法使用，請稍後再試）", None
+    return "（AI 引擎全部異常：Ollama 超時，Gemini/NIM 備援亦無回應或達速率限制，請稍後再試）", None
 
 
 

services/mcp_collector_service.py

@@ -28,7 +28,7 @@ logger = logging.getLogger(__name__)
 
 GEMINI_API_KEY = os.getenv("GEMINI_API_KEY", "")
 MCP_CACHE_TTL_HOURS = int(os.getenv("MCP_CACHE_TTL_HOURS", "24"))
-MCP_MODEL = os.getenv("MCP_GEMINI_MODEL", "gemini-2.5-flash-preview-05-20")
+MCP_MODEL = os.getenv("MCP_GEMINI_MODEL", "gemini-2.0-flash")
 
 # ── 查詢主題定義 ────────────────────────────────────────────────────────────
 _SEARCH_TOPICS = {