Feat/merge api refactor to dev (#542)

* new type

* llm reconstruct and add search api modify

* llm construction

* add delete and get, modify chat

* modify code

* modify code

* modify code

* coding chat

* fix bug in get and delete

* add internet reference in playground chat stream

* remove moscube

* modify code

* fix pre_commit

* fix make test

* finish info transfer

* add info and custom tags

* modify model product fileds

* fix get api bug

* fix bug

* fix bug in pref add info

---------

Co-authored-by: yuan.wang <[email protected]>
Co-authored-by: CaralHsi <[email protected]>

Author: 3 people

src/memos/mem_reader/read_multi_model/utils.py

@@ -67,7 +67,7 @@ def _is_message_list(obj):
     return True
 
 
-def coerce_scene_data(scene_data, scene_type: str) -> list[MessagesType]:
+def coerce_scene_data(scene_data: SceneDataInput, scene_type: str) -> list[MessagesType]:
     """
     Normalize ANY allowed SceneDataInput into: list[MessagesType].
     Supports:

src/memos/memories/textual/prefer_text_memory/extractor.py

@@ -113,7 +113,11 @@ def _process_single_chunk_explicit(
             vector_info = {
                 "embedding": self.embedder.embed([pref["context_summary"]])[0],
             }
-            extract_info = {**basic_info, **pref, **vector_info, **info}
+
+            inner_keys = set(PreferenceTextualMemoryMetadata.model_fields.keys())
+            inner_info = {k: v for k, v in info.items() if k in inner_keys}
+            user_info = {k: v for k, v in info.items() if k not in inner_keys}
+            extract_info = {**basic_info, **pref, **vector_info, **inner_info, "info": user_info}
 
             metadata = PreferenceTextualMemoryMetadata(
                 type=msg_type, preference_type="explicit_preference", **extract_info
@@ -140,7 +144,16 @@ def _process_single_chunk_implicit(
             "embedding": self.embedder.embed([implicit_pref["context_summary"]])[0],
         }
 
-        extract_info = {**basic_info, **implicit_pref, **vector_info, **info}
+        inner_keys = set(PreferenceTextualMemoryMetadata.model_fields.keys())
+        inner_info = {k: v for k, v in info.items() if k in inner_keys}
+        user_info = {k: v for k, v in info.items() if k not in inner_keys}
+        extract_info = {
+            **basic_info,
+            **implicit_pref,
+            **vector_info,
+            **inner_info,
+            "info": user_info,
+        }
 
         metadata = PreferenceTextualMemoryMetadata(
             type=msg_type, preference_type="implicit_preference", **extract_info

src/memos/multi_mem_cube/single_cube.py

@@ -498,7 +498,9 @@ def _process_pref_mem(
                     label=PREF_ADD_LABEL,
                     content=json.dumps(messages_list),
                     timestamp=datetime.utcnow(),
-                    task_id=add_req.task_id,
+                    timestamp=datetime.utcnow(),
+                    info=add_req.info,
+                    user_name=self.cube_id,
                 )
                 self.mem_scheduler.submit_messages(messages=[message_item_pref])
                 self.logger.info(f"[SingleCubeView] cube={self.cube_id} Submitted PREF_ADD async")