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94139ffcd3
```python
from langchain_core.messages import HumanMessage, SystemMessage
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(model="gpt-4.1", use_responses_api=True)
messages = [
SystemMessage("test"), # Works
HumanMessage("test"), # Works
SystemMessage([{"type": "text", "text": "test"}]), # Bug in this case
HumanMessage([{"type": "text", "text": "test"}]), # Works
SystemMessage([{"type": "input_text", "text": "test"}]) # Works
]
llm._get_request_payload(messages)
```
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