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langchain/langchain/tools/shell/tool.py

72 lines
2.0 KiB
Python

import asyncio
import platform
import warnings
from typing import List, Type
from pydantic import BaseModel, Field, root_validator
from langchain.tools.base import BaseTool
from langchain.utilities.bash import BashProcess
class ShellInput(BaseModel):
"""Commands for the Bash Shell tool."""
commands: List[str] = Field(
...,
description="List of shell commands to run. Deserialized using json.loads",
)
"""List of shell commands to run."""
@root_validator
def _validate_commands(cls, values: dict) -> dict:
"""Validate commands."""
# TODO: Add real validators
commands = values.get("commands")
if not isinstance(commands, list):
values["commands"] = [commands]
# Warn that the bash tool is not safe
warnings.warn(
"The shell tool has no safeguards by default. Use at your own risk."
)
return values
def _get_default_bash_processs() -> BashProcess:
"""Get file path from string."""
return BashProcess(return_err_output=True)
def _get_platform() -> str:
"""Get platform."""
system = platform.system()
if system == "Darwin":
return "MacOS"
return system
class ShellTool(BaseTool):
"""Tool to run shell commands."""
process: BashProcess = Field(default_factory=_get_default_bash_processs)
"""Bash process to run commands."""
name: str = "terminal"
"""Name of tool."""
description: str = f"Run shell commands on this {_get_platform()} machine."
"""Description of tool."""
args_schema: Type[BaseModel] = ShellInput
"""Schema for input arguments."""
def _run(self, commands: List[str]) -> str:
"""Run commands and return final output."""
return self.process.run(commands)
async def _arun(self, commands: List[str]) -> str:
"""Run commands asynchronously and return final output."""
return await asyncio.get_event_loop().run_in_executor(
None, self.process.run, commands
)