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Chat models currently implement support for: - images in OpenAI Chat Completions format - other multimodal types (e.g., PDF and audio) in a cross-provider [standard format](https://python.langchain.com/docs/how_to/multimodal_inputs/) Here we update core to extend support to PDF and audio input in Chat Completions format. **If an OAI-format PDF or audio content block is passed into any chat model, it will be transformed to the LangChain standard format**. We assume that any chat model supporting OAI-format PDF or audio has implemented support for the standard format.
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