Initial release: VARS - personalized LLM with RAG and user vector learning

1 files changed, 19 insertions, 0 deletions

diff --git a/src/personalization/user_model/session_state.py b/src/personalization/user_model/session_state.py
new file mode 100644
index 0000000..5cd2243
--- /dev/null
+++ b/src/personalization/user_model/session_state.py
@@ -0,0 +1,19 @@
+from dataclasses import dataclass, field
+from typing import List, Optional
+import numpy as np
+
+from personalization.retrieval.preference_store.schemas import ChatTurn, MemoryCard
+
+@dataclass
+class OnlineSessionState:
+    user_id: str
+    history: List[ChatTurn] = field(default_factory=list)
+    last_query: Optional[str] = None
+    last_answer: Optional[str] = None
+    last_memories: List[MemoryCard] = field(default_factory=list)
+    last_query_embedding: Optional[np.ndarray] = None
+    last_candidate_item_vectors: Optional[np.ndarray] = None  # [K, k]
+    last_policy_probs: Optional[np.ndarray] = None            # [K]
+    last_chosen_indices: List[int] = field(default_factory=list)
+
+