""" Tool Registry for Workflow Engine. The tool registry maintains a collection of callable tools that workflow nodes can use. Tools are simple Python functions that perform specific operations. """ from typing import Any, Callable, Dict, List, Optional from dataclasses import dataclass, field import functools import inspect import logging logger = logging.getLogger(__name__) @dataclass class Tool: """ A registered tool. Attributes: name: Unique identifier for the tool func: The callable function description: Human-readable description parameters: Parameter descriptions """ name: str func: Callable description: str = "" parameters: Dict[str, str] = field(default_factory=dict) def __call__(self, *args, **kwargs) -> Any: """Call the tool function.""" return self.func(*args, **kwargs) def to_dict(self) -> Dict[str, Any]: """Serialize tool metadata.""" return { "name": self.name, "description": self.description, "parameters": self.parameters, } class ToolRegistry: """ Registry for workflow tools. Tools are simple Python functions that nodes can call to perform specific operations. The registry allows dynamic registration and lookup of tools. Usage: registry = ToolRegistry() @registry.register("my_tool") def my_tool(data: str) -> dict: return {"result": data.upper()} # Later tool = registry.get("my_tool") result = tool("hello") """ def __init__(self): self._tools: Dict[str, Tool] = {} def register( self, name: Optional[str] = None, description: str = "", parameters: Optional[Dict[str, str]] = None ) -> Callable: """ Decorator to register a function as a tool. Args: name: Tool name (defaults to function name) description: Tool description (defaults to docstring) parameters: Parameter descriptions Returns: Decorator function """ def decorator(func: Callable) -> Callable: tool_name = name or func.__name__ tool_desc = description or func.__doc__ or "" # Extract parameters from signature if not provided params = parameters or {} if not params: sig = inspect.signature(func) for param_name, param in sig.parameters.items(): if param_name not in ("self", "cls"): params[param_name] = str(param.annotation) if param.annotation != inspect.Parameter.empty else "Any" # Create and store tool tool = Tool( name=tool_name, func=func, description=tool_desc.strip(), parameters=params, ) self._tools[tool_name] = tool logger.debug(f"Registered tool: {tool_name}") @functools.wraps(func) def wrapper(*args, **kwargs): return func(*args, **kwargs) return wrapper return decorator def add( self, func: Callable, name: Optional[str] = None, description: str = "", parameters: Optional[Dict[str, str]] = None ) -> None: """ Directly add a function as a tool (non-decorator version). Args: func: The function to register name: Tool name (defaults to function name) description: Tool description parameters: Parameter descriptions """ tool_name = name or func.__name__ tool_desc = description or func.__doc__ or "" tool = Tool( name=tool_name, func=func, description=tool_desc.strip(), parameters=parameters or {}, ) self._tools[tool_name] = tool logger.debug(f"Added tool: {tool_name}") def get(self, name: str) -> Optional[Tool]: """Get a tool by name.""" return self._tools.get(name) def call(self, name: str, *args, **kwargs) -> Any: """ Call a tool by name. Args: name: Tool name *args: Positional arguments **kwargs: Keyword arguments Returns: Tool result Raises: KeyError: If tool not found """ tool = self.get(name) if not tool: raise KeyError(f"Tool '{name}' not found in registry") return tool(*args, **kwargs) def remove(self, name: str) -> bool: """Remove a tool from the registry.""" if name in self._tools: del self._tools[name] return True return False def list_tools(self) -> List[Dict[str, Any]]: """List all registered tools with their metadata.""" return [tool.to_dict() for tool in self._tools.values()] def has(self, name: str) -> bool: """Check if a tool is registered.""" return name in self._tools def __contains__(self, name: str) -> bool: return self.has(name) def __len__(self) -> int: return len(self._tools) def __iter__(self): return iter(self._tools.values()) # Global tool registry instance tool_registry = ToolRegistry() def register_tool( name: Optional[str] = None, description: str = "", parameters: Optional[Dict[str, str]] = None ) -> Callable: """ Convenience decorator to register a tool in the global registry. Usage: @register_tool("my_tool", description="Does something cool") def my_tool(data: str) -> dict: return {"result": data} """ return tool_registry.register(name, description, parameters) def get_tool(name: str) -> Optional[Tool]: """Get a tool from the global registry.""" return tool_registry.get(name)