langchain/libs/community/langchain_community/tools/human/tool.py
Erick Friis c2a3021bb0
multiple: pydantic 2 compatibility, v0.3 (#26443)
Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
2024-09-13 14:38:45 -07:00

35 lines
993 B
Python

"""Tool for asking human input."""
from typing import Callable, Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from pydantic import Field
def _print_func(text: str) -> None:
print("\n") # noqa: T201
print(text) # noqa: T201
class HumanInputRun(BaseTool):
"""Tool that asks user for input."""
name: str = "human"
description: str = (
"You can ask a human for guidance when you think you "
"got stuck or you are not sure what to do next. "
"The input should be a question for the human."
)
prompt_func: Callable[[str], None] = Field(default_factory=lambda: _print_func)
input_func: Callable = Field(default_factory=lambda: input)
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the Human input tool."""
self.prompt_func(query)
return self.input_func()