You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
langchain/libs/partners/openai
Orest Xherija 0b1e09029f
openai[patch]: increase max batch size for Azure OpenAI Embeddings API (#19532)
**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>
6 months ago
..
langchain_openai openai[patch]: increase max batch size for Azure OpenAI Embeddings API (#19532) 6 months ago
scripts infra: add print rule to ruff (#16221) 7 months ago
tests openai[patch]: tool use integration test (#19460) 6 months ago
.gitignore openai[minor]: implement langchain-openai package (#15503) 8 months ago
LICENSE openai[minor]: implement langchain-openai package (#15503) 8 months ago
Makefile openai[patch]: fix name param (#19365) 6 months ago
README.md openai[patch], docs: readme (#15773) 8 months ago
poetry.lock openai[patch]: add test coverage to output (#19462) 6 months ago
pyproject.toml openai[patch]: add test coverage to output (#19462) 6 months ago

README.md

langchain-openai

This package contains the LangChain integrations for OpenAI through their openai SDK.

Installation and Setup

  • Install the LangChain partner package
pip install langchain-openai
  • Get an OpenAI api key and set it as an environment variable (OPENAI_API_KEY)

LLM

See a usage example.

from langchain_openai import OpenAI

If you are using a model hosted on Azure, you should use different wrapper for that:

from langchain_openai import AzureOpenAI

For a more detailed walkthrough of the Azure wrapper, see here

Chat model

See a usage example.

from langchain_openai import ChatOpenAI

If you are using a model hosted on Azure, you should use different wrapper for that:

from langchain_openai import AzureChatOpenAI

For a more detailed walkthrough of the Azure wrapper, see here

Text Embedding Model

See a usage example

from langchain_openai import OpenAIEmbeddings

If you are using a model hosted on Azure, you should use different wrapper for that:

from langchain_openai import AzureOpenAIEmbeddings

For a more detailed walkthrough of the Azure wrapper, see here