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openai[patch]: increase max batch size for Azure OpenAI Embeddings API (#19532)

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**Description:** Azure OpenAI has increased its maximum batch size from
16 to 2048 for the Embeddings API per this How-To
[page](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/embeddings?tabs=console#best-practices)

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
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Orest Xherija 2024-03-25 17:50:07 -05:00 committed by GitHub
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commit 0b1e09029f
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1 changed files with 3 additions and 3 deletions
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libs/partners/openai/langchain_openai/embeddings/azure.py
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@ -99,10 +99,10 @@ class AzureOpenAIEmbeddings(OpenAIEmbeddings):
values["azure_ad_token"] = (
convert_to_secret_str(azure_ad_token) if azure_ad_token else None
)
# Azure OpenAI embedding models allow a maximum of 16 texts
# Azure OpenAI embedding models allow a maximum of 2048 texts
# at a time in each batch
# See: https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#embeddings
values["chunk_size"] = min(values["chunk_size"], 16)
# See: https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/embeddings?tabs=console#best-practices
values["chunk_size"] = min(values["chunk_size"], 2048)
# For backwards compatibility. Before openai v1, no distinction was made
# between azure_endpoint and base_url (openai_api_base).
openai_api_base = values["openai_api_base"]