Update app.py

app.py

@@ -393,7 +393,7 @@ async def tool_search_scholar(query, limit=5):
 
 async def tool_library_info(question, history=None, model="gpt"):
     if not vectorstore:
-        return {"answer": "Knowledge base not initialized.", "sources": []}
+        return {"answer": "Knowledge base not initialized.", "sources": [], "has_answer": False}
 
     query = question
     if history:
@@ -725,7 +725,7 @@ async def rag_query(req: RAGRequest):
         }
     except Exception as e:
         elapsed = time.time() - start
-        return {"answer": "Error processing your question.", "sources": [], "error": str(e)}
+        return {"answer": "", "sources": [], "has_answer": False, "error": str(e)}
 
 
 # ---- Agent endpoint (Batch 3: tool-calling agent) ----