Method get_trainable_variables

src/tool/context.py:1161–1188

Get trainable variables from tools, filtering out tools with require_grad=False. Only returns variables for tools where require_grad=True. Args: tool_name (Optional[str]): Name of a specific tool. If None, returns trainable variables for all tools.

(self, tool_name: Optional[str] = None)

        return variables
    
    async def get_trainable_variables(self, tool_name: Optional[str] = None) -> Dict[str, 'Variable']:
        """Get trainable variables from tools, filtering out tools with require_grad=False.
        
        Only returns variables for tools where require_grad=True.
        
        Args:
            tool_name (Optional[str]): Name of a specific tool. If None, returns trainable variables for all tools.
            
        Returns:
            Dict[str, Variable]: Dictionary mapping tool names to Variable objects for tools with require_grad=True.
                                Each Variable has:
                - name: tool name
                - type: "tool_code"
                - description: tool description
                - require_grad: True
                - variables: tool's code (as string value)
        """
        async with self._variables_lock:
            # Get all variables first
            all_variables = await self.get_variables(tool_name=tool_name)
            
            # Filter to only include variables with require_grad=True
            trainable_variables = {
                name: variable for name, variable in all_variables.items()
                if variable.require_grad is True
            }
            
            return trainable_variables
    
    async def set_variables(self, tool_name: str, variable_updates: Dict[str, Any], new_version: Optional[str] = None, description: Optional[str] = None) -> ToolConfig:
        """Set variable values in a tool and create a new version.