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core[patch]: convert_to_openai_tool Anthropic support (#27591)

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This commit is contained in:
Bagatur
2024-10-23 12:27:06 -07:00
committed by GitHub
parent 217de4e6a6
commit 968dccee04
3 changed files with 56 additions and 22 deletions
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4
libs/core/langchain_core/messages/utils.py
View File

@@ -883,8 +883,6 @@ def convert_to_openai_messages(
) -> Union[dict, list[dict]]:
"""Convert LangChain messages into OpenAI message dicts.
.. versionadded:: 0.3.11
Args:
messages: Message-like object or iterable of objects whose contents are
in OpenAI, Anthropic, Bedrock Converse, or VertexAI formats.
@@ -937,6 +935,8 @@ def convert_to_openai_messages(
# {'role': 'assistant', 'content': 'thats nice'}
# ]
.. versionadded:: 0.3.11
""" # noqa: E501
if text_format not in ("string", "block"):
err = f"Unrecognized {text_format=}, expected one of 'string' or 'block'."

52
libs/core/langchain_core/utils/function_calling.py
View File

@@ -336,30 +336,32 @@ def convert_to_openai_function(
strict: Optional[bool] = None,
) -> 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
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.
assumed to already be a valid OpenAI function, a JSON schema with
top-level 'title' and 'description' keys specified, or an Anthropic format
tool.
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.
Raises:
ValueError: If function is not in a supported format.
.. versionchanged:: 0.2.29
``strict`` arg added.
.. versionchanged:: 0.3.13
Support for Anthropic format tools added.
"""
from langchain_core.tools import BaseTool
@@ -378,6 +380,15 @@ def convert_to_openai_function(
"description": function.pop("description"),
"parameters": function,
}
# an Anthropic format tool
elif isinstance(function, dict) and all(
k in function for k in ("name", "description", "input_schema")
):
oai_function = {
"name": function["name"],
"description": function["description"],
"parameters": function["input_schema"],
}
elif isinstance(function, type) and is_basemodel_subclass(function):
oai_function = cast(dict, convert_pydantic_to_openai_function(function))
elif is_typeddict(function):
@@ -414,34 +425,35 @@ def convert_to_openai_tool(
*,
strict: Optional[bool] = None,
) -> dict[str, Any]:
"""Convert a raw function/class to an OpenAI tool.
.. versionchanged:: 0.2.29
``strict`` arg added.
"""Convert a tool-like object to an OpenAI tool schema.
Args:
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.
OpenAI tool, OpenAI function, a JSON schema with top-level 'title' and
'description' keys specified, or an Anthropic format tool.
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.
.. versionchanged:: 0.2.29
``strict`` arg added.
.. versionchanged:: 0.3.13
Support for Anthropic format tools added.
"""
if isinstance(tool, dict) and tool.get("type") == "function" and "function" in tool:
return tool
oai_function = convert_to_openai_function(tool, strict=strict)
oai_tool: dict[str, Any] = {"type": "function", "function": oai_function}
return oai_tool
return {"type": "function", "function": oai_function}
def tool_example_to_messages(