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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

45 lines
1.4 KiB
Python

# 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 google.adk import Agent
from google.adk.tools.long_running_tool import LongRunningFunctionTool
def export_data(export_type: str) -> dict[str, str]:
"""Exports user data.
Args:
export_type: The type of data to export (e.g., 'csv', 'json').
Returns:
A dict with the status.
"""
# In a real application, this would kick off a background job.
# Here we just return a status.
return {
"status": "in-progress",
"progress": "0%",
"message": f"Exporting {export_type} data. This may take some time.",
}
root_agent = Agent(
name="long_running_functions",
instruction="""
You are an assistant that can export user data.
When the user asks to export data, call the `export_data` tool.
""",
tools=[LongRunningFunctionTool(func=export_data)],
)