When using llama_index.memory.mem0, I encountered an error: the 'Memory' object has no attribute 'version'.

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🐛 Describe the bug

When I used llama_index.memory.mem0, I encountered an error stating that the 'Memory' object has no attribute 'version'.
The logic worked after I modified and deleted [ and self._client.version == "v1.1" ] on line 147 of memory>mem0>base.py.
The versions in use are: Python 3.12, llama-index==0.12.2, llama-index-memory-mem0==0.2.0, and mem0ai==0.1.34.

# my code
import os
from llama_index.memory.mem0 import Mem0Memory

user_id = "jsduan"
agent_id = "agent_1"
run_id = "run_1"
context = {
    "user_id": user_id,
    # "agent_id": agent_id,
    # "run_id": run_id,
}
config = {
    "vector_store": {
        # "provider": "qdrant",
        # "config": {
        #     "collection_name": "test",
        #     "host": "localhost",
        #     "port": 6333,
        #     "embedding_model_dims": 768,  # Change this according to your local model's dimensions
        # },
        "provider": "chroma",
        "config": {
            "collection_name": "chat_session",
            "path": "chroma_db",
        },
    },
    "llm": {
        "provider": "ollama",
        "config": {
            "model": "llama3.1:8b",
            "temperature": 0,
            "max_tokens": 8000,
            "ollama_base_url": "http://localhost:11434",  # Ensure this URL is correct
        },
    },
    "embedder": {
        "provider": "ollama",
        "config": {
            "model": "nomic-embed-text",
            # Alternatively, you can use "snowflake-arctic-embed:latest"
            "ollama_base_url": "http://localhost:11434",
        },
    },
    "version": "v1.1",
}
m = Mem0Memory.from_config(
    context=context,
    config=config,
    search_msg_limit=4,
)

agent = index.as_chat_engine(
    text_qa_template=text_qa_template,
    refine_template=refine_template,
    llm=llm,
    memory=m,
    verbose=True,
    chat_mode="best",
)
response_stream = agent.stream_chat("订单管理的收货方式有什么?")
response_stream.print_response_stream()

File ~/.conda/envs/LlamaIndexStudy/lib/python3.12/site-packages/llama_index/core/callbacks/utils.py:41, in trace_method.<locals>.decorator.<locals>.wrapper(self, *args, **kwargs)
     [39](https://vscode-remote+wsl-002bubuntu-002d24-002e04.vscode-resource.vscode-cdn.net/mnt/c/Users/js/Documents/Workspace/LlamaIndex/~/.conda/envs/LlamaIndexStudy/lib/python3.12/site-packages/llama_index/core/callbacks/utils.py:39) callback_manager = cast(CallbackManager, callback_manager)
     [40](https://vscode-remote+wsl-002bubuntu-002d24-002e04.vscode-resource.vscode-cdn.net/mnt/c/Users/js/Documents/Workspace/LlamaIndex/~/.conda/envs/LlamaIndexStudy/lib/python3.12/site-packages/llama_index/core/callbacks/utils.py:40) with callback_manager.as_trace(trace_id):
---> [41](https://vscode-remote+wsl-002bubuntu-002d24-002e04.vscode-resource.vscode-cdn.net/mnt/c/Users/js/Documents/Workspace/LlamaIndex/~/.conda/envs/LlamaIndexStudy/lib/python3.12/site-packages/llama_index/core/callbacks/utils.py:41)     return func(self, *args, **kwargs)
...
--> [147](https://vscode-remote+wsl-002bubuntu-002d24-002e04.vscode-resource.vscode-cdn.net/mnt/c/Users/js/Documents/Workspace/LlamaIndex/~/.conda/envs/LlamaIndexStudy/lib/python3.12/site-packages/llama_index/memory/mem0/base.py:147) if isinstance(self._client, Memory) and self._client.version == "v1.1":
    [148](https://vscode-remote+wsl-002bubuntu-002d24-002e04.vscode-resource.vscode-cdn.net/mnt/c/Users/js/Documents/Workspace/LlamaIndex/~/.conda/envs/LlamaIndexStudy/lib/python3.12/site-packages/llama_index/memory/mem0/base.py:148)     search_results = search_results["results"]
    [150](https://vscode-remote+wsl-002bubuntu-002d24-002e04.vscode-resource.vscode-cdn.net/mnt/c/Users/js/Documents/Workspace/LlamaIndex/~/.conda/envs/LlamaIndexStudy/lib/python3.12/site-packages/llama_index/memory/mem0/base.py:150) system_message = convert_memory_to_system_message(search_results)

AttributeError: 'Memory' object has no attribute 'version'

#  memory>mem0>base.py

    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.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