mirror of
https://github.com/EvolutionAPI/adk-python.git
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270 lines
7.3 KiB
Python
270 lines
7.3 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Any
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from google.adk.agents import Agent
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from google.adk.tools import BaseTool
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from google.adk.tools import ToolContext
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from google.genai import types
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from google.genai.types import Part
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from pydantic import BaseModel
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from ... import testing_utils
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def simple_function(input_str: str) -> str:
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return {'result': input_str}
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class MockBeforeToolCallback(BaseModel):
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mock_response: dict[str, object]
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modify_tool_request: bool = False
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def __call__(
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self,
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tool: BaseTool,
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args: dict[str, Any],
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tool_context: ToolContext,
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) -> dict[str, object]:
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if self.modify_tool_request:
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args['input_str'] = 'modified_input'
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return None
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return self.mock_response
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class MockAfterToolCallback(BaseModel):
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mock_response: dict[str, object]
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modify_tool_request: bool = False
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modify_tool_response: bool = False
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def __call__(
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self,
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tool: BaseTool,
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args: dict[str, Any],
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tool_context: ToolContext,
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tool_response: dict[str, Any] = None,
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) -> dict[str, object]:
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if self.modify_tool_request:
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args['input_str'] = 'modified_input'
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return None
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if self.modify_tool_response:
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tool_response['result'] = 'modified_output'
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return tool_response
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return self.mock_response
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def noop_callback(
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**kwargs,
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) -> dict[str, object]:
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pass
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def test_before_tool_callback():
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responses = [
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types.Part.from_function_call(name='simple_function', args={}),
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'response1',
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]
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mock_model = testing_utils.MockModel.create(responses=responses)
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agent = Agent(
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name='root_agent',
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model=mock_model,
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before_tool_callback=MockBeforeToolCallback(
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mock_response={'test': 'before_tool_callback'}
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),
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tools=[simple_function],
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)
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runner = testing_utils.InMemoryRunner(agent)
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assert testing_utils.simplify_events(runner.run('test')) == [
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('root_agent', Part.from_function_call(name='simple_function', args={})),
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(
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'root_agent',
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Part.from_function_response(
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name='simple_function', response={'test': 'before_tool_callback'}
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),
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),
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('root_agent', 'response1'),
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]
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def test_before_tool_callback_noop():
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responses = [
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types.Part.from_function_call(
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name='simple_function', args={'input_str': 'simple_function_call'}
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),
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'response1',
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]
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mock_model = testing_utils.MockModel.create(responses=responses)
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agent = Agent(
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name='root_agent',
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model=mock_model,
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before_tool_callback=noop_callback,
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tools=[simple_function],
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)
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runner = testing_utils.InMemoryRunner(agent)
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assert testing_utils.simplify_events(runner.run('test')) == [
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(
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'root_agent',
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Part.from_function_call(
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name='simple_function', args={'input_str': 'simple_function_call'}
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),
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),
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(
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'root_agent',
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Part.from_function_response(
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name='simple_function',
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response={'result': 'simple_function_call'},
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),
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),
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('root_agent', 'response1'),
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]
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def test_before_tool_callback_modify_tool_request():
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responses = [
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types.Part.from_function_call(name='simple_function', args={}),
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'response1',
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]
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mock_model = testing_utils.MockModel.create(responses=responses)
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agent = Agent(
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name='root_agent',
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model=mock_model,
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before_tool_callback=MockBeforeToolCallback(
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mock_response={'test': 'before_tool_callback'},
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modify_tool_request=True,
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),
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tools=[simple_function],
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)
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runner = testing_utils.InMemoryRunner(agent)
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assert testing_utils.simplify_events(runner.run('test')) == [
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('root_agent', Part.from_function_call(name='simple_function', args={})),
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(
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'root_agent',
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Part.from_function_response(
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name='simple_function',
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response={'result': 'modified_input'},
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),
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),
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('root_agent', 'response1'),
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]
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def test_after_tool_callback():
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responses = [
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types.Part.from_function_call(
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name='simple_function', args={'input_str': 'simple_function_call'}
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),
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'response1',
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]
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mock_model = testing_utils.MockModel.create(responses=responses)
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agent = Agent(
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name='root_agent',
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model=mock_model,
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after_tool_callback=MockAfterToolCallback(
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mock_response={'test': 'after_tool_callback'}
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),
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tools=[simple_function],
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)
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runner = testing_utils.InMemoryRunner(agent)
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assert testing_utils.simplify_events(runner.run('test')) == [
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(
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'root_agent',
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Part.from_function_call(
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name='simple_function', args={'input_str': 'simple_function_call'}
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),
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),
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(
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'root_agent',
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Part.from_function_response(
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name='simple_function', response={'test': 'after_tool_callback'}
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),
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),
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('root_agent', 'response1'),
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]
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def test_after_tool_callback_noop():
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responses = [
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types.Part.from_function_call(
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name='simple_function', args={'input_str': 'simple_function_call'}
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),
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'response1',
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]
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mock_model = testing_utils.MockModel.create(responses=responses)
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agent = Agent(
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name='root_agent',
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model=mock_model,
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after_tool_callback=noop_callback,
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tools=[simple_function],
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)
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runner = testing_utils.InMemoryRunner(agent)
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assert testing_utils.simplify_events(runner.run('test')) == [
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(
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'root_agent',
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Part.from_function_call(
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name='simple_function', args={'input_str': 'simple_function_call'}
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),
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),
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(
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'root_agent',
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Part.from_function_response(
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name='simple_function',
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response={'result': 'simple_function_call'},
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),
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),
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('root_agent', 'response1'),
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]
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def test_after_tool_callback_modify_tool_response():
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responses = [
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types.Part.from_function_call(
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name='simple_function', args={'input_str': 'simple_function_call'}
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),
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'response1',
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]
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mock_model = testing_utils.MockModel.create(responses=responses)
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agent = Agent(
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name='root_agent',
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model=mock_model,
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after_tool_callback=MockAfterToolCallback(
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mock_response={'result': 'after_tool_callback'},
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modify_tool_response=True,
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),
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tools=[simple_function],
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)
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runner = testing_utils.InMemoryRunner(agent)
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assert testing_utils.simplify_events(runner.run('test')) == [
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(
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'root_agent',
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Part.from_function_call(
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name='simple_function', args={'input_str': 'simple_function_call'}
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),
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),
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(
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'root_agent',
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Part.from_function_response(
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name='simple_function',
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response={'result': 'modified_output'},
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),
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),
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('root_agent', 'response1'),
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]
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