mirror of
https://github.com/hwchase17/langchain.git
synced 2025-08-13 14:50:00 +00:00
# Conflicts: # libs/core/langchain_core/language_models/v1/chat_models.py # libs/core/langchain_core/messages/utils.py # libs/core/langchain_core/messages/v1.py # libs/partners/openai/langchain_openai/chat_models/_compat.py # libs/partners/openai/langchain_openai/chat_models/base.py |
||
---|---|---|
.. | ||
langchain_openai | ||
scripts | ||
tests | ||
.gitignore | ||
LICENSE | ||
Makefile | ||
pyproject.toml | ||
README.md | ||
uv.lock |
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
)
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 AzureChatOpenAI
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 AzureOpenAIEmbeddings
LLM (Legacy)
LLM refers to the legacy text-completion models that preceded chat models. 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 Azure OpenAI