langchain - Using AzureOpenAIEmbeddings for vector search, gives a constant error - Stack Overflow

I'm trying to write the following code and it gives me an error. Tried everything, it doesn't

I'm trying to write the following code and it gives me an error. Tried everything, it doesn't work! using

langchain Version: 0.3.19, python 3.11 langchain-openai Version: 0.3.6

Code:

from langchain_openai import AzureOpenAIEmbeddings

openai_embeddings = AzureOpenAIEmbeddings(
    azure_endpoint ="https://****.openai.azure/openai",
    deployment = "text-embedding-3-large",
    openai_api_version = "2023-05-15",
    openai_api_key = "****"
)

Later i'm using it for the AzureCosmosDBNoSqlVectorSearch function.

This is the Error:

File "C:\Users\****.py", line 64, in <module>
    openai_embeddings = AzureOpenAIEmbeddings(
                        ^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\....\venv\Lib\site-packages\pydantic\main.py", line 214, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
pydantic_core._pydantic_core.ValidationError: 1 validation error for AzureOpenAIEmbeddings
  Value error, As of openai>=1.0.0, Azure endpoints should be specified via the `azure_endpoint` param not `openai_api_base` (or alias `base_url`).  [type=value_error, input_value={'azure_endpoint': 'https...te', 'model_kwargs': {}}, input_type=dict]
    For further information visit /2.10/v/value_error

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