I am facing an issue with llamaindex

After the recent launch, There were few changes in Azure OpenAI class.

You need to use AzureOpenAIEmbedding for embedding.

More can be found here:https://docs.llamaindex.ai/en/stable/examples/customization/llms/AzureOpenAI.html#azure-openai

I get the same error for AzureOpenAIEmbedding as well

-> AzureOpenAIEmbedding INFO:httpx:HTTP Request: POST https://myname.openai.azure.com//openai/deployments/my-custom-embedding/embeddings?api-version=2023-05-01 "HTTP/1.1 404 Resource Not Found"

but it is using a different URL than the Azure plain native one

as you can see one is using the right and the llamaindex one the wrong deployment

Shouldn't this be https://myname.openai.azure.com//openai/deployments/my-custom-embedding/embeddings?api-version=2023-05-01

https://myname.openai.azure.com/openai/deployments/my-custom-embedding/embeddings?api-version=2023-05-01? one less "/" before openai?

for the native Azure one it works like this

it is also addding my-custom-embedding which the native one does not add and the native one is referencing tetada

azure native
https://myname.openai.azure.com//openai/deployments/text-embedding-ada-002/embeddings?api-version=2023-05-15
llamaindex azure embedding
https://myname.openai.azure.com//openai/deployments/my-custom-embedding/embeddings?api-version=2023-05-01

some observations

return AzureOpenAIEmbedding(
model="text-embedding-ada-002",
deployment_name="text-embedding-ada-002", <<< is mandatory otherwise an error is raised and python object is rendered - the normal Azure api has this optional
api_key=os.environ["AZURE_OPENAI_KEY"],
azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
#api_version=os.environ["AZURE_OPENAI_API_VERSION"],
api_version="2023-10-01-preview" <<<< this must match like 1 instead of 01
)

Working now with these?

yes