During Docker startup, an error occurs when reading the configuration of Tencent Cloud's vector database from the "server/main. py" file

[orcharddd2024]

embedding = OpenAIEmbeddings(
)

tencent_vdb_client = TencentVectorDB(
embedding=embedding,
connection_params=ConnectionParams(
url=VDB_URL,
key=VDB_API_KEY,
username="root",
timeout=30
),
database_name="db-test7",
collection_name=VDB_SPACE
)

DEFAULT_CONFIG = {
"version": "v1.1",

"vector_store": {
    "provider": "langchain",
    "config": {
        "client": tencent_vdb_client  # Pass the initialized instance
    }
},


"llm": {"provider": "openai", "config": {"api_key": OPENAI_API_KEY, "temperature": 0.2, "model": "gpt-4o"}},
"embedder": {"provider": "openai", "config": {"api_key": OPENAI_API_KEY, "model": "text-embedding-3-small"}},
"history_db_path": HISTORY_DB_PATH,

}

MEMORY_INSTANCE = Memory.from_config(DEFAULT_CONFIG)

After local testing, I was able to connect to Tencent Cloud's vector database. According to the official website of mem0, I changed the code to the above, but there were still errors when Docker started，Especially the errors in the red box；

But you can see from the official website that this example is also written in the same way；

https://docs.mem0.ai/components/vectordbs/dbs/langchain