fix archival reference

memgpt/memory.py

@@ -350,7 +350,7 @@ class BaseRecallMemory(RecallMemory):
 class EmbeddingArchivalMemory(ArchivalMemory):
     """Archival memory with embedding based search"""
 
-    def __init__(self, agent_state, top_k: Optional[int] = 100):
+    def __init__(self, config, agent_state, top_k: Optional[int] = 100):
         """Init function for archival memory
 
         :param archival_memory_database: name of dataset to pre-fill archival with
@@ -366,7 +366,7 @@ class EmbeddingArchivalMemory(ArchivalMemory):
         self.embedding_chunk_size = agent_state.embedding_config.embedding_chunk_size
 
         # create storage backend
-        self.storage = StorageConnector.get_archival_storage_connector(user_id=agent_state.user_id, agent_id=agent_state.id)
+        self.storage = StorageConnector.get_archival_storage_connector(config, user_id=agent_state.user_id, agent_id=agent_state.id)
         # TODO: have some mechanism for cleanup otherwise will lead to OOM
         self.cache = {}