This is one example where the code runs successfully at first, but when I run it again after some time in the same virtual environment, the following error occurs: ERROR: 20 21 # Create embedding model ---> 22 embed_model = OpenAIEmbedding( 23 model="text-embedding-ada-002", 24 # api_key=openai.api_key, 25 # Explicitly specify dimensions 26 ) 29 encoded_password = quote_plus(password) File ~/pgvector/venv/lib/python3.8/site-packages/llama_index/embeddings/openai/base.py:315, in OpenAIEmbedding.init (self, mode, model, embed_batch_size, dimensions, additional_kwargs, api_key, api_base, api_version, max_retries, timeout, reuse_client, callback_manager, default_headers, http_client, async_http_client, num_workers, **kwargs) 307 additional_kwargs["dimensions"] = dimensions 309 api_key, api_base, api_version = self._resolve_credentials( 310 api_key=api_key, 311 api_base=api_base, 312 api_version=api_version, 313 ) --> 315 self._query_engine = get_engine(mode, model, _QUERY_MODE_MODEL_DICT) 316 self._text_engine = get_engine(mode, model, _TEXT_MODE_MODEL_DICT) ... 889 else: 890 # this is the current error 891 raise AttributeError(f'{type(self).name !r} object has no attribute {item!r}') AttributeError: pydantic _private . can you please help me with, these are the versions that I have been using : Name: llama-index Version: 0.10.17 Name: pydantic Version: 2.10.5 Name: openai Version: 1.51.2 Name: llama-index-core Version: 0.11.23 Name: llama-index-vector-stores-supabase Version: 0.2.0 Name: SQLAlchemy Version: 2.0.36 python version :3.8.12
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