AuthenticationError                       Traceback (most recent call last)
Cell In[13], line 12
      9     return hashlib.sha1(json.dumps(doc.metadata, sort_keys=True).encode()).hexdigest()
     11 split_ids = list(map(stable_hash, splits))
---> 12 docs_vectorstore.add_documents(splits, ids=split_ids)
     13 docs_vectorstore.persist()

File /opt/anaconda3/lib/python3.11/site-packages/langchain_core/vectorstores.py:138, in VectorStore.add_documents(self, documents, **kwargs)
    136 texts = [doc.page_content for doc in documents]
    137 metadatas = [doc.metadata for doc in documents]
--> 138 return self.add_texts(texts, metadatas, **kwargs)

File /opt/anaconda3/lib/python3.11/site-packages/langchain_community/vectorstores/chroma.py:276, in Chroma.add_texts(self, texts, metadatas, ids, **kwargs)
    274 texts = list(texts)
    275 if self._embedding_function is not None:
--> 276     embeddings = self._embedding_function.embed_documents(texts)
    277 if metadatas:
    278     # fill metadatas with empty dicts if somebody
    279     # did not specify metadata for all texts
    280     length_diff = len(texts) - len(metadatas)

File /opt/anaconda3/lib/python3.11/site-packages/langchain_openai/embeddings/base.py:489, in OpenAIEmbeddings.embed_documents(self, texts, chunk_size)
    486 # NOTE: to keep things simple, we assume the list may contain texts longer
    487 #       than the maximum context and use length-safe embedding function.
    488 engine = cast(str, self.deployment)
--> 489 return self._get_len_safe_embeddings(texts, engine=engine)

File /opt/anaconda3/lib/python3.11/site-packages/langchain_openai/embeddings/base.py:347, in OpenAIEmbeddings._get_len_safe_embeddings(self, texts, engine, chunk_size)
    345 batched_embeddings: List[List[float]] = []
    346 for i in _iter:
--> 347     response = self.client.create(
    348         input=tokens[i : i + _chunk_size], **self._invocation_params
    349     )
    350     if not isinstance(response, dict):
    351         response = response.model_dump()

File /opt/anaconda3/lib/python3.11/site-packages/openai/resources/embeddings.py:114, in Embeddings.create(self, input, model, dimensions, encoding_format, user, extra_headers, extra_query, extra_body, timeout)
    108         embedding.embedding = np.frombuffer(  # type: ignore[no-untyped-call]
    109             base64.b64decode(data), dtype="float32"
    110         ).tolist()
    112     return obj
--> 114 return self._post(
    115     "/embeddings",
    116     body=maybe_transform(params, embedding_create_params.EmbeddingCreateParams),
    117     options=make_request_options(
    118         extra_headers=extra_headers,
    119         extra_query=extra_query,
    120         extra_body=extra_body,
    121         timeout=timeout,
    122         post_parser=parser,
    123     ),
    124     cast_to=CreateEmbeddingResponse,
    125 )

File /opt/anaconda3/lib/python3.11/site-packages/openai/_base_client.py:1240, in SyncAPIClient.post(self, path, cast_to, body, options, files, stream, stream_cls)
   1226 def post(
   1227     self,
   1228     path: str,
   (...)
   1235     stream_cls: type[_StreamT] | None = None,
   1236 ) -> ResponseT | _StreamT:
   1237     opts = FinalRequestOptions.construct(
   1238         method="post", url=path, json_data=body, files=to_httpx_files(files), **options
   1239     )
-> 1240     return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))

File /opt/anaconda3/lib/python3.11/site-packages/openai/_base_client.py:921, in SyncAPIClient.request(self, cast_to, options, remaining_retries, stream, stream_cls)
    912 def request(
    913     self,
    914     cast_to: Type[ResponseT],
   (...)
    919     stream_cls: type[_StreamT] | None = None,
    920 ) -> ResponseT | _StreamT:
--> 921     return self._request(
    922         cast_to=cast_to,
    923         options=options,
    924         stream=stream,
    925         stream_cls=stream_cls,
    926         remaining_retries=remaining_retries,
    927     )

File /opt/anaconda3/lib/python3.11/site-packages/openai/_base_client.py:1020, in SyncAPIClient._request(self, cast_to, options, remaining_retries, stream, stream_cls)
   1017         err.response.read()
   1019     log.debug("Re-raising status error")
-> 1020     raise self._make_status_error_from_response(err.response) from None
   1022 return self._process_response(
   1023     cast_to=cast_to,
   1024     options=options,
   (...)
   1027     stream_cls=stream_cls,
   1028 )

AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: "sk-XCPv*****************************************kMd". You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}