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00ac49dd3e
**What does this PR do?** This PR replaces deprecated usages of ```.dict()``` with ```.model_dump()``` to ensure compatibility with Pydantic v2 and prepare for v3, addressing the deprecation warning ```PydanticDeprecatedSince20``` as required in [Issue# 31103](https://github.com/langchain-ai/langchain/issues/31103). **Changes made:** * Replaced ```.dict()``` with ```.model_dump()``` in multiple locations * Ensured consistency with Pydantic v2 migration guidelines * Verified compatibility across affected modules **Notes** * This is a code maintenance and compatibility update * Tested locally with Pydantic v2.11 * No functional logic changes; only internal method replacements to prevent deprecation issues
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