Revert "fix(memory): accept llm kwarg in sync Memory.add()/_create_procedural_memory (#5911)" (#5990)

mem0/memory/main.py

@@ -726,7 +726,6 @@ class Memory(MemoryBase):
         infer: bool = True,
         memory_type: Optional[str] = None,
         prompt: Optional[str] = None,
-        llm=None,
     ):
         """
         Create a new memory.
@@ -803,7 +802,7 @@ class Memory(MemoryBase):
             )
 
         if agent_id is not None and memory_type == MemoryType.PROCEDURAL.value:
-            results = self._create_procedural_memory(messages, metadata=processed_metadata, prompt=prompt, llm=llm)
+            results = self._create_procedural_memory(messages, metadata=processed_metadata, prompt=prompt)
             scale_threshold_notice = detect_scale_threshold_from_add_result(self, results)
             if temporal_usage_notice:
                 display_temporal_usage_notice(self, "sync", "add", *temporal_usage_notice)
@@ -1911,27 +1910,15 @@ class Memory(MemoryBase):
         )
         return memory_id
 
-    def _create_procedural_memory(self, messages, metadata=None, llm=None, prompt=None):
+    def _create_procedural_memory(self, messages, metadata=None, prompt=None):
         """
         Create a procedural memory
 
         Args:
             messages (list): List of messages to create a procedural memory from.
             metadata (dict): Metadata to create a procedural memory from.
-            llm (llm, optional): LLM to use for the procedural memory creation. Defaults to None.
             prompt (str, optional): Prompt to use for the procedural memory creation. Defaults to None.
         """
-        if llm is not None:
-            try:
-                from langchain_core.messages.utils import (
-                    convert_to_messages,  # type: ignore
-                )
-            except Exception:
-                logger.error(
-                    "Import error while loading langchain-core. Please install 'langchain-core' to use procedural memory."
-                )
-                raise
-
         logger.info("Creating procedural memory")
 
         parsed_messages = [
@@ -1944,12 +1931,8 @@ class Memory(MemoryBase):
         ]
 
         try:
-            if llm is not None:
-                response = llm.invoke(input=convert_to_messages(parsed_messages))
-                procedural_memory = remove_code_blocks(response.content)
-            else:
-                procedural_memory = self.llm.generate_response(messages=parsed_messages)
-                procedural_memory = remove_code_blocks(procedural_memory)
+            procedural_memory = self.llm.generate_response(messages=parsed_messages)
+            procedural_memory = remove_code_blocks(procedural_memory)
         except Exception as e:
             logger.error(f"Error generating procedural memory summary: {e}")
             raise