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langchain/libs/partners/openai
Bagatur 236e957abb
core,groq,openai,mistralai,robocorp,fireworks,anthropic[patch]: Update BaseModel subclass and instance checks to handle both v1 and proper namespaces (#24417)
After this PR chat models will correctly handle pydantic 2 with
bind_tools and with_structured_output.


```python
import pydantic
print(pydantic.__version__)
```
2.8.2

```python
from langchain_openai import ChatOpenAI
from pydantic import BaseModel, Field

class Add(BaseModel):
    x: int
    y: int

model = ChatOpenAI().bind_tools([Add])
print(model.invoke('2 + 5').tool_calls)

model = ChatOpenAI().with_structured_output(Add)
print(type(model.invoke('2 + 5')))
```

```
[{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_PNUFa4pdfNOYXxIMHc6ps2Do', 'type': 'tool_call'}]
<class '__main__.Add'>
```


```python
from langchain_openai import ChatOpenAI
from pydantic.v1 import BaseModel, Field

class Add(BaseModel):
    x: int
    y: int

model = ChatOpenAI().bind_tools([Add])
print(model.invoke('2 + 5').tool_calls)

model = ChatOpenAI().with_structured_output(Add)
print(type(model.invoke('2 + 5')))
```

```python
[{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_hhiHYP441cp14TtrHKx3Upg0', 'type': 'tool_call'}]
<class '__main__.Add'>
```

Addresses issues: https://github.com/langchain-ai/langchain/issues/22782

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2 months ago
..
langchain_openai core,groq,openai,mistralai,robocorp,fireworks,anthropic[patch]: Update BaseModel subclass and instance checks to handle both v1 and proper namespaces (#24417) 2 months ago
scripts
tests openai[patch]: use model_name in AzureOpenAI.ls_model_name (#24366) 2 months ago
.gitignore
LICENSE
Makefile infra: update mypy 1.10, ruff 0.5 (#23721) 3 months ago
README.md
poetry.lock openai: release 0.1.18 (#24369) 2 months ago
pyproject.toml openai: release 0.1.18 (#24369) 2 months ago

README.md

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