runtime error

Exit code: 1. Reason: ~~~~~~~~~~~~~~~~~^ client, collection_name, vector_name, distance, embedding ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/langchain_qdrant/qdrant.py", line 1223, in _validate_collection_for_dense vector_size = len(dense_embeddings.embed_documents(["dummy_text"])[0]) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.13/site-packages/langchain_openai/embeddings/base.py", line 751, in embed_documents return self._get_len_safe_embeddings( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ texts, engine=engine, chunk_size=chunk_size, **kwargs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/langchain_openai/embeddings/base.py", line 618, in _get_len_safe_embeddings response = self.client.create(input=batch_tokens, **client_kwargs) File "/usr/local/lib/python3.13/site-packages/openai/resources/embeddings.py", line 136, in create return self._post( ~~~~~~~~~~^ "/embeddings", ^^^^^^^^^^^^^^ ...<8 lines>... cast_to=CreateEmbeddingResponse, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/openai/_base_client.py", line 1314, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.13/site-packages/openai/_base_client.py", line 1087, in request raise self._make_status_error_from_response(err.response) from None openai.RateLimitError: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}}

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