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core[patch]: Release 0.2.29 (#25126)

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Bagatur 2024-08-07 09:50:20 -07:00 committed by GitHub
parent dff83cce66
commit b4c12346cc
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2 changed files with 22 additions and 6 deletions
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26
libs/core/langchain_core/utils/function_calling.py
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@ -327,15 +327,23 @@ def convert_to_openai_function(
) -> Dict[str, Any]:
"""Convert a raw function/class to an OpenAI function.
.. versionchanged:: 0.2.29
``strict`` arg added.
Args:
function: A dictionary, Pydantic BaseModel class, TypedDict class, a LangChain
function:
A dictionary, Pydantic BaseModel class, TypedDict class, a LangChain
Tool object, or a Python function. If a dictionary is passed in, it is
assumed to already be a valid OpenAI function or a JSON schema with
top-level 'title' and 'description' keys specified.
strict: If True, model output is guaranteed to exactly match the JSON Schema
strict:
If True, model output is guaranteed to exactly match the JSON Schema
provided in the function definition. If None, ``strict`` argument will not
be included in function definition.
.. versionadded:: 0.2.29
Returns:
A dict version of the passed in function which is compatible with the OpenAI
function-calling API.
@ -393,18 +401,26 @@ def convert_to_openai_tool(
) -> Dict[str, Any]:
"""Convert a raw function/class to an OpenAI tool.
.. versionchanged:: 0.2.29
``strict`` arg added.
Args:
tool: Either a dictionary, a pydantic.BaseModel class, Python function, or
tool:
Either a dictionary, a pydantic.BaseModel class, Python function, or
BaseTool. If a dictionary is passed in, it is assumed to already be a valid
OpenAI tool, OpenAI function, or a JSON schema with top-level 'title' and
'description' keys specified.
strict: If True, model output is guaranteed to exactly match the JSON Schema
strict:
If True, model output is guaranteed to exactly match the JSON Schema
provided in the function definition. If None, ``strict`` argument will not
be included in tool definition.
.. versionadded:: 0.2.29
Returns:
A dict version of the passed in tool which is compatible with the
OpenAI tool-calling API.
OpenAI tool-calling API.
"""
if isinstance(tool, dict) and tool.get("type") == "function" and "function" in tool:
return tool

2
libs/core/pyproject.toml
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@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-core"
version = "0.2.29rc1"
version = "0.2.29"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"