Source code for tooluniverse.tools.Tool_Finder_LLM

"""
Tool_Finder_LLM

LLM-based tool finder that uses natural language processing to intelligently select relevant tool...
"""

from typing import Any, Optional, Callable
from ._shared_client import get_shared_client


[docs] def Tool_Finder_LLM( description: str, limit: int, picked_tool_names: Optional[list[Any]] = None, return_call_result: Optional[bool] = None, categories: Optional[list[Any]] = None, *, stream_callback: Optional[Callable[[str], None]] = None, use_cache: bool = False, validate: bool = True, ) -> Any: """ LLM-based tool finder that uses natural language processing to intelligently select relevant tool... Parameters ---------- description : str The description of the tool capability required. limit : int The number of tools to retrieve picked_tool_names : list[Any] Pre-selected tool names to process. If provided, tool selection will skip the... return_call_result : bool Whether to return both prompts and tool names. If false, returns only tool pr... categories : list[Any] Optional list of tool categories to filter by stream_callback : Callable, optional Callback for streaming output use_cache : bool, default False Enable caching validate : bool, default True Validate parameters Returns ------- Any """ # Handle mutable defaults to avoid B006 linting error return get_shared_client().run_one_function( { "name": "Tool_Finder_LLM", "arguments": { "description": description, "limit": limit, "picked_tool_names": picked_tool_names, "return_call_result": return_call_result, "categories": categories, }, }, stream_callback=stream_callback, use_cache=use_cache, validate=validate, )
__all__ = ["Tool_Finder_LLM"]