diff --git a/README.md b/README.md
index 0f7c961..43e16f2 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,4 @@
+
 # Install
 ```commandline
 pip install .
diff --git a/tilellm/__main__.py b/tilellm/__main__.py
index 9522056..48089a9 100644
--- a/tilellm/__main__.py
+++ b/tilellm/__main__.py
@@ -82,6 +82,7 @@ async def reader(channel: aioredis.client.Redis):
                      
                     byte_str = message_values[b"single"]
                     dict_str = byte_str.decode("UTF-8")
+                    logger.info(dict_str)
                     item = ast.literal_eval(dict_str)
                     itemSingle = ItemSingle(**item)
                     webhook = item.get('webhook',"")
diff --git a/tilellm/models/item_model.py b/tilellm/models/item_model.py
index 6dfa9f1..b68c97e 100644
--- a/tilellm/models/item_model.py
+++ b/tilellm/models/item_model.py
@@ -5,17 +5,17 @@
 class ItemSingle(BaseModel):
     id: str
     source: str | None = None
-    type: str |None = None
-    content: str |None =None
-    gptkey: str |None =None
+    type: str | None = None
+    content: str | None =None
+    gptkey: str | None = None
     embedding: str = Field(default_factory=lambda: "text-embedding-ada-002")
-    namespace: str |None =None
-    webhook: str |None =None
+    namespace: str | None =None
+    webhook: str = Field(default_factory=lambda: "")
 
 class MetadataItem(BaseModel):
     id: str
     source: str | None = None
-    type: str |None = None
+    type: str | None = None
     embedding: str = Field(default_factory=lambda: "text-embedding-ada-002")
 
 class ChatEntry(BaseModel):
diff --git a/tilellm/store/pinecone_repository.py b/tilellm/store/pinecone_repository.py
index 565e707..7bc1f1f 100644
--- a/tilellm/store/pinecone_repository.py
+++ b/tilellm/store/pinecone_repository.py
@@ -140,6 +140,7 @@ def get_pc_ids_namespace(id:str, namespace:str):
 
         # vector_store = Pinecone.from_existing_index(const.PINECONE_INDEX, )
         describe = index.describe_index_stats()
+
         logger.debug(describe)
         namespaces = describe.get("namespaces", {})
         total_vectors = 1