chore: Migrate computer to use the new feature decorator

Co-authored-by: Xuan Yang <xygoogle@google.com>
PiperOrigin-RevId: 842287104

src/google/adk/tools/computer_use/base_computer.py

@@ -21,10 +21,11 @@ from typing import Optional
 
 import pydantic
 
-from ...utils.feature_decorator import experimental
+from ...features import experimental
+from ...features import FeatureName
 
 
-@experimental
+@experimental(FeatureName.COMPUTER_USE)
 class ComputerEnvironment(str, Enum):
   """Case insensitive enum for computer environments."""
 
@@ -34,7 +35,7 @@ class ComputerEnvironment(str, Enum):
   """Operates in a web browser."""
 
 
-@experimental
+@experimental(FeatureName.COMPUTER_USE)
 class ComputerState(pydantic.BaseModel):
   """Represents the current state of the computer environment.
 
@@ -51,7 +52,7 @@ class ComputerState(pydantic.BaseModel):
   )
 
 
-@experimental
+@experimental(FeatureName.COMPUTER_USE)
 class BaseComputer(abc.ABC):
   """async defines an interface for computer environments.
 

src/google/adk/tools/computer_use/computer_use_tool.py

@@ -19,11 +19,11 @@ import logging
 from typing import Any
 from typing import Callable
 
-from google.genai import types
 from typing_extensions import override
 
+from ...features import experimental
+from ...features import FeatureName
 from ...models.llm_request import LlmRequest
-from ...utils.feature_decorator import experimental
 from ..function_tool import FunctionTool
 from ..tool_context import ToolContext
 from .base_computer import ComputerState
@@ -31,14 +31,14 @@ from .base_computer import ComputerState
 logger = logging.getLogger("google_adk." + __name__)
 
 
-@experimental
+@experimental(FeatureName.COMPUTER_USE)
 class ComputerUseTool(FunctionTool):
   """A tool that wraps computer control functions for use with LLMs.
 
   This tool automatically normalizes coordinates from a virtual coordinate space
   (by default 1000x1000) to the actual screen size. This allows LLMs to work
-  with a consistent coordinate system regardless of the actual screen dimensions,
-  making their output more predictable and easier to handle.
+  with a consistent coordinate system regardless of the actual screen
+  dimensions, making their output more predictable and easier to handle.
   """
 
   def __init__(
@@ -52,13 +52,14 @@ class ComputerUseTool(FunctionTool):
 
     Args:
       func: The computer control function to wrap.
-      screen_size: The actual screen size as (width, height) in pixels.
-        This represents the real dimensions of the target screen/display.
-      virtual_screen_size: The virtual coordinate space dimensions as (width, height)
-        that the LLM uses to specify coordinates. Coordinates from the LLM are
-        automatically normalized from this virtual space to the actual screen_size.
-        Default is (1000, 1000), meaning the LLM thinks it's working with a
-        1000x1000 pixel screen regardless of the actual screen dimensions.
+      screen_size: The actual screen size as (width, height) in pixels. This
+        represents the real dimensions of the target screen/display.
+      virtual_screen_size: The virtual coordinate space dimensions as (width,
+        height) that the LLM uses to specify coordinates. Coordinates from the
+        LLM are automatically normalized from this virtual space to the actual
+        screen_size. Default is (1000, 1000), meaning the LLM thinks it's
+        working with a 1000x1000 pixel screen regardless of the actual screen
+        dimensions.
 
     Raises:
       ValueError: If screen_size or virtual_screen_size is not a valid tuple
@@ -161,6 +162,5 @@ class ComputerUseTool(FunctionTool):
   async def process_llm_request(
       self, *, tool_context: ToolContext, llm_request: LlmRequest
   ) -> None:
-    """ComputerUseToolset will add this tool to the LLM request and add computer
-    use configuration to the LLM request."""
+    """ComputerUseToolset will add this tool to the LLM request and add computer use configuration to the LLM request."""
     pass

src/google/adk/tools/computer_use/computer_use_toolset.py

@@ -25,8 +25,9 @@ from google.genai import types
 from typing_extensions import override
 
 from ...agents.readonly_context import ReadonlyContext
+from ...features import experimental
+from ...features import FeatureName
 from ...models.llm_request import LlmRequest
-from ...utils.feature_decorator import experimental
 from ..base_toolset import BaseToolset
 from ..tool_context import ToolContext
 from .base_computer import BaseComputer
@@ -38,7 +39,7 @@ EXCLUDED_METHODS = {"screen_size", "environment", "close"}
 logger = logging.getLogger("google_adk." + __name__)
 
 
-@experimental
+@experimental(FeatureName.COMPUTER_USE)
 class ComputerUseToolset(BaseToolset):
 
   def __init__(
@@ -68,9 +69,12 @@ class ComputerUseToolset(BaseToolset):
     """Adapt a computer use tool by replacing it with a modified version.
 
     Args:
-      method_name: The name of the method (of BaseComputer class) to adapt (e.g. 'wait').
-      adapter_func: A function that accepts existing computer use async function and returns a new computer use async function.
-        Can be either sync or async function. The name of the returned function will be used as the new tool name.
+      method_name: The name of the method (of BaseComputer class) to adapt (e.g.
+        'wait').
+      adapter_func: A function that accepts existing computer use async function
+        and returns a new computer use async function. Can be either sync or
+        async function. The name of the returned function will be used as the
+        new tool name.
       llm_request: The LLM request containing the tools dictionary.
     """
     # Validate that the method is a valid BaseComputer method
@@ -173,8 +177,7 @@ class ComputerUseToolset(BaseToolset):
   async def process_llm_request(
       self, *, tool_context: ToolContext, llm_request: LlmRequest
   ) -> None:
-    """Add its tools to the LLM request and add computer
-    use configuration to the LLM request."""
+    """Add its tools to the LLM request and add computer use configuration to the LLM request."""
     try:
 
       # Add this tool to the tools dictionary