Fixing user fields

trustgraph-base/trustgraph/api/async_flow.py

@@ -584,7 +584,7 @@ class AsyncFlowInstance:
         result = await self.request("document-rag", request_data)
         return result.get("response", "")
 
-    async def graph_embeddings_query(self, text: str, user: str, collection: str, limit: int = 10, **kwargs: Any):
+    async def graph_embeddings_query(self, text: str, collection: str, limit: int = 10, user: str = "", **kwargs: Any):
         """
         Query graph embeddings for semantic entity search.
 

trustgraph-base/trustgraph/api/async_socket_client.py

@@ -381,7 +381,7 @@ class AsyncSocketFlowInstance:
             if hasattr(chunk, 'content'):
                 yield chunk.content
 
-    async def graph_embeddings_query(self, text: str, user: str, collection: str, limit: int = 10, **kwargs):
+    async def graph_embeddings_query(self, text: str, collection: str, limit: int = 10, user: str = "", **kwargs):
         """Query graph embeddings for semantic search"""
         emb_result = await self.embeddings(texts=[text])
         vector = emb_result.get("vectors", [[]])[0]

trustgraph-base/trustgraph/api/socket_client.py

@@ -755,9 +755,9 @@ class SocketFlowInstance:
     def graph_embeddings_query(
         self,
         text: str,
-        user: str,
         collection: str,
         limit: int = 10,
+        user: str = "",
         **kwargs: Any
     ) -> Dict[str, Any]:
         """Query knowledge graph entities using semantic similarity."""
@@ -777,9 +777,9 @@ class SocketFlowInstance:
     def document_embeddings_query(
         self,
         text: str,
-        user: str,
         collection: str,
         limit: int = 10,
+        user: str = "",
         **kwargs: Any
     ) -> Dict[str, Any]:
         """Query document chunks using semantic similarity."""