langchain/libs/partners/openai
Bagatur 1c1bb1152e
openai[patch]: refactor with_structured_output (#18052)
- make schema Optional with default val None, since in json_mode you
don't need it if not parsing to pydantic
- change return_type -> include_raw
- expand docstring examples
2024-02-23 17:02:11 -08:00
..
langchain_openai openai[patch]: refactor with_structured_output (#18052) 2024-02-23 17:02:11 -08:00
scripts infra: add print rule to ruff (#16221) 2024-02-09 16:13:30 -08:00
tests openai[patch]: remove numpy dep (#18034) 2024-02-23 21:12:05 +00:00
.gitignore openai[minor]: implement langchain-openai package (#15503) 2024-01-05 15:03:28 -08:00
LICENSE openai[minor]: implement langchain-openai package (#15503) 2024-01-05 15:03:28 -08:00
Makefile openai[minor]: change to secretstr (#16803) 2024-01-30 15:49:56 -08:00
poetry.lock openai[patch]: remove numpy dep (#18034) 2024-02-23 21:12:05 +00:00
pyproject.toml openai[patch]: refactor with_structured_output (#18052) 2024-02-23 17:02:11 -08:00
README.md openai[patch], docs: readme (#15773) 2024-01-09 11:52:24 -08:00

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