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- **Description:** The ValueError raised on certain structured-outputs parsing errors, in langchain openai community integration, was missing a f-string modifier and so didn't produce useful outputs. This is a 2-line, 2-character change. - **Issue:** None open that this fixes - **Dependencies:** Nothing changed - **Twitter handle:** None - [X] **Add tests and docs**: There's nothing to add for. - [-] **Lint and test**: Happy to run this if you deem it necessary. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>
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 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
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 here