adk-python/tests/unittests/flows/llm_flows/test_async_tool_callbacks.py
Alankrit Verma 21736067f9 feat(llm_flows): support async before/after tool callbacks
Previously, callbacks were treated as purely synchronous,
so passing an async coroutine caused “was never awaited”
errors and Pydantic serialization failures.

Now we detect awaitable return values from
before_tool_callback and after_tool_callback,
and `await` them if necessary.

Fixes: #380
2025-04-28 14:36:25 -04:00

108 lines
3.3 KiB
Python

# Copyright 2025 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 typing import Any, Dict, Optional
import pytest
from google.adk.agents import Agent
from google.adk.tools.function_tool import FunctionTool
from google.adk.tools.tool_context import ToolContext
from google.adk.flows.llm_flows.functions import handle_function_calls_async
from google.adk.events.event import Event
from google.genai import types
from ... import utils
class AsyncBeforeToolCallback:
def __init__(self, mock_response: Dict[str, Any]):
self.mock_response = mock_response
async def __call__(
self,
tool: FunctionTool,
args: Dict[str, Any],
tool_context: ToolContext,
) -> Optional[Dict[str, Any]]:
return self.mock_response
class AsyncAfterToolCallback:
def __init__(self, mock_response: Dict[str, Any]):
self.mock_response = mock_response
async def __call__(
self,
tool: FunctionTool,
args: Dict[str, Any],
tool_context: ToolContext,
tool_response: Dict[str, Any],
) -> Optional[Dict[str, Any]]:
return self.mock_response
async def invoke_tool_with_callbacks(
before_cb=None, after_cb=None
) -> Optional[Event]:
def simple_fn(**kwargs) -> Dict[str, Any]:
return {"initial": "response"}
tool = FunctionTool(simple_fn)
model = utils.MockModel.create(responses=[])
agent = Agent(
name="agent",
model=model,
tools=[tool],
before_tool_callback=before_cb,
after_tool_callback=after_cb,
)
invocation_context = utils.create_invocation_context(
agent=agent, user_content=""
)
# Build function call event
function_call = types.FunctionCall(name=tool.name, args={})
content = types.Content(parts=[types.Part(function_call=function_call)])
event = Event(
invocation_id=invocation_context.invocation_id,
author=agent.name,
content=content,
)
tools_dict = {tool.name: tool}
return await handle_function_calls_async(
invocation_context,
event,
tools_dict,
)
@pytest.mark.asyncio
async def test_async_before_tool_callback():
mock_resp = {"test": "before_tool_callback"}
before_cb = AsyncBeforeToolCallback(mock_resp)
result_event = await invoke_tool_with_callbacks(before_cb=before_cb)
assert result_event is not None
part = result_event.content.parts[0]
assert part.function_response.response == mock_resp
@pytest.mark.asyncio
async def test_async_after_tool_callback():
mock_resp = {"test": "after_tool_callback"}
after_cb = AsyncAfterToolCallback(mock_resp)
result_event = await invoke_tool_with_callbacks(after_cb=after_cb)
assert result_event is not None
part = result_event.content.parts[0]
assert part.function_response.response == mock_resp