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Related to #30344 Add support for token counting for o-series models in `test_token_counts.py`. * **Update `_MODELS` and `_CHAT_MODELS` dictionaries** - Add "o1", "o3", and "gpt-4o" to `_MODELS` and `_CHAT_MODELS` dictionaries. * **Update token counts** - Add token counts for "o1", "o3", and "gpt-4o" models. --- For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/langchain-ai/langchain/pull/30542?shareId=ab208bf7-80a3-4b8d-80c4-2287486fedae).
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