langchain/libs/community/langchain_community/utils/openai_functions.py

# these stubs are just for backwards compatibility

from langchain_core.utils.function_calling import (
    FunctionDescription,
    ToolDescription,
    convert_pydantic_to_openai_function,
    convert_pydantic_to_openai_tool,
)

__all__ = [
    "FunctionDescription",
    "ToolDescription",
    "convert_pydantic_to_openai_function",
    "convert_pydantic_to_openai_tool",
]
openai[minor]: implement langchain-openai package (#15503) Todo - [x] copy over integration tests - [x] update docs with new instructions in #15513 - [x] add linear ticket to bump core -> community, community->langchain, and core->openai deps - [ ] (optional): add `pip install langchain-openai` command to each notebook using it - [x] Update docstrings to not need `openai` install - [x] Add serialization - [x] deprecate old models Contributor steps: - [x] Add secret names to manual integrations workflow in .github/workflows/_integration_test.yml - [x] Add secrets to release workflow (for pre-release testing) in .github/workflows/_release.yml Maintainer steps (Contributors should not do these): - [x] set up pypi and test pypi projects - [x] add credential secrets to Github Actions - [ ] add package to conda-forge Functional changes to existing classes: - now relies on openai client v1 (1.6.1) via concrete dep in langchain-openai package Codebase organization - some function calling stuff moved to `langchain_core.utils.function_calling` in order to be used in both community and langchain-openai 9 months ago			`# these stubs are just for backwards compatibility`

			`from langchain_core.utils.function_calling import (`
			`FunctionDescription,`
			`ToolDescription,`
			`convert_pydantic_to_openai_function,`
			`convert_pydantic_to_openai_tool,`
			`)`

			`__all__ = [`
			`"FunctionDescription",`
			`"ToolDescription",`
			`"convert_pydantic_to_openai_function",`
			`"convert_pydantic_to_openai_tool",`
			`]`