diff --git a/api/apps/llm_app.py b/api/apps/llm_app.py
index 3f5357cfa..d14f6fa15 100644
--- a/api/apps/llm_app.py
+++ b/api/apps/llm_app.py
@@ -264,7 +264,7 @@ def add_llm():
         try:
             image_data = test_image
             m, tc = mdl.describe(image_data)
-            if not m and not tc:
+            if not tc and m.find("**ERROR**:") >= 0:
                 raise Exception(m)
         except Exception as e:
             msg += f"\nFail to access model({factory}/{mdl_nm})." + str(e)
diff --git a/rag/llm/cv_model.py b/rag/llm/cv_model.py
index cd3163f02..2ef0cb54a 100644
--- a/rag/llm/cv_model.py
+++ b/rag/llm/cv_model.py
@@ -526,7 +526,7 @@ class OllamaCV(Base):
         try:
             response = self.client.generate(
                 model=self.model_name,
-                prompt=prompt[0]["content"][0]["text"],
+                prompt=prompt[0]["content"],
                 images=[image],
             )
             ans = response["response"].strip()
diff --git a/rag/settings.py b/rag/settings.py
index 06d09f21f..6c2017dc1 100644
--- a/rag/settings.py
+++ b/rag/settings.py
@@ -54,8 +54,10 @@ elif STORAGE_IMPL_TYPE == 'OSS':
 try:
     REDIS = decrypt_database_config(name="redis")
 except Exception:
-    REDIS = {}
-    pass
+    try:
+        REDIS = get_base_config("redis", {})
+    except Exception:
+        REDIS = {}
 DOC_MAXIMUM_SIZE = int(os.environ.get("MAX_CONTENT_LENGTH", 128 * 1024 * 1024))
 DOC_BULK_SIZE = int(os.environ.get("DOC_BULK_SIZE", 4))
 EMBEDDING_BATCH_SIZE = int(os.environ.get("EMBEDDING_BATCH_SIZE", 16))