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188 | class Mem0Memory(BaseMem0):
primary_memory: SerializeAsAny[BaseMemory] = Field(
description="Primary memory source for chat agent."
)
context: Optional[Mem0Context] = None
search_msg_limit: int = Field(
default=5,
description="Limit of chat history messages to use for context in search API",
)
def __init__(self, context: Optional[Mem0Context] = None, **kwargs) -> None:
super().__init__(**kwargs)
if context is not None:
self.context = context
@classmethod
def class_name(cls) -> str:
"""Class name."""
return "Mem0Memory"
@classmethod
def from_defaults(cls, **kwargs: Any) -> "Mem0Memory":
raise NotImplementedError("Use either from_client or from_config")
@classmethod
def from_client(
cls,
context: Dict[str, Any],
api_key: Optional[str] = None,
host: Optional[str] = None,
org_id: Optional[str] = None,
project_id: Optional[str] = None,
search_msg_limit: int = 5,
**kwargs: Any,
):
primary_memory = ChatMemoryBuffer.from_defaults()
try:
context = Mem0Context(**context)
except ValidationError as e:
raise ValidationError(f"Context validation error: {e}")
client = MemoryClient(
api_key=api_key, host=host, org_id=org_id, project_id=project_id
)
return cls(
primary_memory=primary_memory,
context=context,
client=client,
search_msg_limit=search_msg_limit,
)
@classmethod
def from_config(
cls,
context: Dict[str, Any],
config: Dict[str, Any],
search_msg_limit: int = 5,
**kwargs: Any,
):
primary_memory = ChatMemoryBuffer.from_defaults()
try:
context = Mem0Context(**context)
except Exception as e:
raise ValidationError(f"Context validation error: {e}")
client = Memory.from_config(config_dict=config)
return cls(
primary_memory=primary_memory,
context=context,
client=client,
search_msg_limit=search_msg_limit,
)
def get(self, input: Optional[str] = None, **kwargs: Any) -> List[ChatMessage]:
"""Get chat history. With memory system message."""
messages = self.primary_memory.get(input=input, **kwargs)
input = convert_messages_to_string(messages, input, limit=self.search_msg_limit)
search_results = self.search(query=input, **self.context.get_context())
if isinstance(self._client, Memory) and self._client.api_version == "v1.1":
search_results = search_results["results"]
system_message = convert_memory_to_system_message(search_results)
# If system message is present
if len(messages) > 0 and messages[0].role == MessageRole.SYSTEM:
assert messages[0].content is not None
system_message = convert_memory_to_system_message(
response=search_results, existing_system_message=messages[0]
)
messages.insert(0, system_message)
return messages
def get_all(self) -> List[ChatMessage]:
"""Returns all chat history."""
return self.primary_memory.get_all()
def _add_msgs_to_client_memory(self, messages: List[ChatMessage]) -> None:
"""Add new user and assistant messages to client memory."""
self.add(
messages=convert_chat_history_to_dict(messages),
**self.context.get_context(),
)
def put(self, message: ChatMessage) -> None:
"""Add message to chat history and client memory."""
self._add_msgs_to_client_memory([message])
self.primary_memory.put(message)
def set(self, messages: List[ChatMessage]) -> None:
"""Set chat history and add new messages to client memory."""
initial_chat_len = len(self.primary_memory.get_all())
# Insert only new chat messages
self._add_msgs_to_client_memory(messages[initial_chat_len:])
self.primary_memory.set(messages)
def reset(self) -> None:
"""Only reset chat history."""
self.primary_memory.reset()
|
