I can no longer upload files to vector store with AzureOpenAI

Confirm this is an issue with the Python library and not an underlying OpenAI API

• This is an issue with the Python library

Describe the bug

Hi,

From 2 days till now i'm getting error when I try to upload files in vector stores using AzureOpenAI package.
The same code works with OpenAI.

I changed nothing in my code but from 31/07/2024 it doesn't work with AzureOpenAI.

The output of file_batch:

File batch: FileCounts(cancelled=0, completed=0, failed=1, in_progress=0, total=1)
File batch status: failed

File status: failed
File last error: LastError(code='server_error', message='An internal error occurred.')

Are there some problems with AzureOpenAI ?

Thanks,
Matteo

To Reproduce

Use a simple file.txt or other types.

Execute the code and see the result.

Code snippets

from openai import AzureOpenAI
client = AzureOpenAI(
      api_key=os.getenv("AZURE_OPENAI_API_KEY"),  
      api_version="2024-05-01-preview",
      azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT")
      )
file_stream = open("path/of/my/simple/file.txt", "rb")

vector_store = client.beta.vector_stores.create(name="vs_test_assistant_v2")
vector_store_id = vector_store.id

print("Uploading file to vector store..")
file_batch = client.beta.vector_stores.file_batches.upload_and_poll(
          vector_store_id=vector_store_id, 
          files=[file_stream],
          )

print(f"File batch status: {file_batch.status}")
print(f"File batch: {file_batch.file_counts}")
file = client.beta.vector_stores.files.list(vector_store_id).data[0]
print(f"File status: {file.status}")
if file.status == "failed":
    print(f"File last error: {file.last_error}")

OS

Linux

Python version

Python v3.10.12

Library version

openai v1.37.2

Start by running the provided AzureOpenAI vector-store upload example with openai v1.37.2, Python 3.10.12, and the 2024-05-01-preview API version, then compare it with the same code against OpenAI. Done means identifying whether the Python library causes the failed file batch and documenting or testing the corrected Azure behavior.