'OpenAIEmbedding' object has no attribute '__pydantic_private__'
prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap) llm = OpenAI(temperature=0, model="gpt-4o", timeout=120, max_retries=15) Settings.llm = llm Settings.prompt_helper = prompt_helper documents = SimpleDirectoryReader(id).load_data() index = VectorStoreIndex.from_documents(documents=documents, Settings=Settings)