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# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
"""A node that wraps an ADK Tool."""
from collections.abc import AsyncGenerator
from typing import Any
import uuid
from pydantic import ConfigDict
from pydantic import Field
from typing_extensions import override
from ..agents.context import Context
from ..events.event import Event
from ..tools.base_tool import BaseTool
from ..tools.tool_context import ToolContext
from ._base_node import BaseNode
from ._retry_config import RetryConfig
class _ToolNode(BaseNode):
"""A node that wraps an ADK Tool."""
model_config = ConfigDict(arbitrary_types_allowed=True)
tool: BaseTool = Field(...)
def __init__(
self,
*,
tool: BaseTool,
name: str | None = None,
retry_config: RetryConfig | None = None,
timeout: float | None = None,
):
super().__init__(
tool=tool,
name=name or tool.name,
rerun_on_resume=False,
retry_config=retry_config,
timeout=timeout,
)
@override
async def _run_impl(
self,
*,
ctx: Context,
node_input: Any,
) -> AsyncGenerator[Any, None]:
tool_context = ToolContext(
invocation_context=ctx.get_invocation_context(),
function_call_id=str(uuid.uuid4()),
)
import json
from google.genai import types
from ..utils.content_utils import extract_text_from_content
args = node_input
if isinstance(args, types.Content):
args = extract_text_from_content(args)
if isinstance(args, str):
args = args.strip()
if args:
try:
args = json.loads(args)
except json.JSONDecodeError:
pass
if args is None:
args = {}
elif not isinstance(args, dict):
raise TypeError(
'The input to ToolNode must be a dictionary of tool arguments or'
f' None, but got {type(args)}.'
)
response = await self.tool.run_async(args=args, tool_context=tool_context)
state_delta = (
dict(tool_context.actions.state_delta)
if tool_context.actions.state_delta
else None
)
if response is not None:
yield Event(
output=response,
state=state_delta,
)
elif state_delta:
yield Event(state=state_delta)