Add LLM token

backend/app/schemas/rag.py

@@ -12,6 +12,11 @@ class RagChatRequest(BaseModel):
     top_k: int = 5
     session_id: Optional[str] = None
     filters: Optional[str] = None
+    # Optional document text to inject directly as LLM conversation context.
+    # When provided the document content is prepended to the query so the LLM
+    # can answer questions about it without requiring vector-store indexing.
+    context_text: Optional[str] = None
+    context_filename: Optional[str] = None
 
 
 class RetrievedDoc(BaseModel):