Indexer failed when running AzureOpenAIEmbeddingSkill

Hi, I'm following **python Azure AI Search integrated vectorization sample** with exact same configuration.
The indexer creation step failed with
**Operation**: "Enrichment.AzureOpenAIEmbeddingSkill.#2"
**Message** "Could not execute skill because the Web Api request failed"
**Details**:Web Api response status: 'BadRequest', Web Api response details: '{
"error": {
"message": "Too many inputs. The max number of inputs is 1. We hope to increase the number of inputs per request soon. Please contact us through an Azure support request at: https://go.microsoft.com/fwlink/?linkid=2213926 for further questions.",
"type": "invalid_request_error",
"param": null,
"code": null
}
}
'
Can you please provide any potential solutions? Thanks!

Start with the Python Azure AI Search integrated vectorization sample and reproduce the indexer creation step using the configuration described in the issue. Trace the AzureOpenAIEmbeddingSkill request that triggers the one-input limit, then update or document the sample so indexer creation no longer fails or clearly explains the supported limitation.

Written by the indexing model from the issue text.