chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,344 @@
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# Copyright 2026 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 typing import Dict
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from typing import Optional
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from google.adk.agents.llm_agent import Agent
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from google.adk.events.event import Event
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from google.adk.flows.llm_flows.functions import handle_function_calls_async
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from google.adk.flows.llm_flows.functions import handle_function_calls_live
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from google.adk.plugins.base_plugin import BasePlugin
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from google.adk.tools.base_tool import BaseTool
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from google.adk.tools.function_tool import FunctionTool
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from google.adk.tools.tool_context import ToolContext
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from google.genai import types
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from google.genai.errors import ClientError
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import pytest
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from ... import testing_utils
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mock_error = ClientError(
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code=429,
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response_json={
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"error": {
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"code": 429,
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"message": "Quota exceeded.",
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"status": "RESOURCE_EXHAUSTED",
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}
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},
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)
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class MockPlugin(BasePlugin):
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before_tool_response = {"MockPlugin": "before_tool_response from MockPlugin"}
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after_tool_response = {"MockPlugin": "after_tool_response from MockPlugin"}
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on_tool_error_response = {
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"MockPlugin": "on_tool_error_response from MockPlugin"
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}
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def __init__(self, name="mock_plugin"):
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self.name = name
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self.enable_before_tool_callback = False
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self.enable_after_tool_callback = False
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self.enable_on_tool_error_callback = False
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async def before_tool_callback(
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self,
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*,
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tool: BaseTool,
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tool_args: dict[str, Any],
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tool_context: ToolContext,
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) -> Optional[dict]:
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if not self.enable_before_tool_callback:
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return None
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return self.before_tool_response
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async def after_tool_callback(
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self,
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*,
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tool: BaseTool,
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tool_args: dict[str, Any],
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tool_context: ToolContext,
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result: dict,
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) -> Optional[dict]:
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if not self.enable_after_tool_callback:
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return None
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return self.after_tool_response
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async def on_tool_error_callback(
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self,
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*,
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tool: BaseTool,
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tool_args: dict[str, Any],
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tool_context: ToolContext,
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error: Exception,
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) -> Optional[dict]:
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if not self.enable_on_tool_error_callback:
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return None
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return self.on_tool_error_response
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@pytest.fixture
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def mock_tool():
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def simple_fn(**kwargs) -> Dict[str, Any]:
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return {"initial": "response"}
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return FunctionTool(simple_fn)
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@pytest.fixture
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def mock_error_tool():
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def raise_error_fn(**kwargs) -> Dict[str, Any]:
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raise mock_error
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return FunctionTool(raise_error_fn)
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@pytest.fixture
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def mock_plugin():
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return MockPlugin()
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async def invoke_tool_with_plugin(mock_tool, mock_plugin) -> Optional[Event]:
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"""Invokes a tool with a plugin."""
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model = testing_utils.MockModel.create(responses=[])
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agent = Agent(
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name="agent",
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model=model,
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tools=[mock_tool],
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)
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent, user_content="", plugins=[mock_plugin]
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)
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# Build function call event
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function_call = types.FunctionCall(name=mock_tool.name, args={})
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content = types.Content(parts=[types.Part(function_call=function_call)])
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event = Event(
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invocation_id=invocation_context.invocation_id,
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author=agent.name,
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content=content,
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)
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tools_dict = {mock_tool.name: mock_tool}
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return await handle_function_calls_async(
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invocation_context,
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event,
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tools_dict,
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)
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@pytest.mark.asyncio
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async def test_async_before_tool_callback(mock_tool, mock_plugin):
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mock_plugin.enable_before_tool_callback = True
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result_event = await invoke_tool_with_plugin(mock_tool, mock_plugin)
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assert result_event is not None
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part = result_event.content.parts[0]
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assert part.function_response.response == mock_plugin.before_tool_response
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@pytest.mark.asyncio
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async def test_async_after_tool_callback(mock_tool, mock_plugin):
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mock_plugin.enable_after_tool_callback = True
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result_event = await invoke_tool_with_plugin(mock_tool, mock_plugin)
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assert result_event is not None
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part = result_event.content.parts[0]
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assert part.function_response.response == mock_plugin.after_tool_response
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@pytest.mark.asyncio
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async def test_async_on_tool_error_use_plugin_response(
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mock_error_tool, mock_plugin
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):
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mock_plugin.enable_on_tool_error_callback = True
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result_event = await invoke_tool_with_plugin(mock_error_tool, mock_plugin)
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assert result_event is not None
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part = result_event.content.parts[0]
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assert part.function_response.response == mock_plugin.on_tool_error_response
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@pytest.mark.asyncio
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async def test_async_on_tool_error_fallback_to_runner(
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mock_error_tool, mock_plugin
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):
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mock_plugin.enable_on_tool_error_callback = False
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try:
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await invoke_tool_with_plugin(mock_error_tool, mock_plugin)
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except Exception as e:
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assert e == mock_error
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async def invoke_tool_with_plugin_live(
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mock_tool, mock_plugin
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) -> Optional[Event]:
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"""Invokes a tool with a plugin using the live path."""
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model = testing_utils.MockModel.create(responses=[])
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agent = Agent(
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name="agent",
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model=model,
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tools=[mock_tool],
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)
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent, user_content="", plugins=[mock_plugin]
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)
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# Build function call event
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function_call = types.FunctionCall(name=mock_tool.name, args={})
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content = types.Content(parts=[types.Part(function_call=function_call)])
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event = Event(
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invocation_id=invocation_context.invocation_id,
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author=agent.name,
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content=content,
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)
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tools_dict = {mock_tool.name: mock_tool}
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return await handle_function_calls_live(
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invocation_context,
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event,
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tools_dict,
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)
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@pytest.mark.asyncio
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async def test_live_before_tool_callback(mock_tool, mock_plugin):
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mock_plugin.enable_before_tool_callback = True
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result_event = await invoke_tool_with_plugin_live(mock_tool, mock_plugin)
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assert result_event is not None
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part = result_event.content.parts[0]
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assert part.function_response.response == mock_plugin.before_tool_response
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@pytest.mark.asyncio
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async def test_live_after_tool_callback(mock_tool, mock_plugin):
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mock_plugin.enable_after_tool_callback = True
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result_event = await invoke_tool_with_plugin_live(mock_tool, mock_plugin)
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assert result_event is not None
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part = result_event.content.parts[0]
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assert part.function_response.response == mock_plugin.after_tool_response
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@pytest.mark.asyncio
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async def test_live_on_tool_error_use_plugin_response(
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mock_error_tool, mock_plugin
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):
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mock_plugin.enable_on_tool_error_callback = True
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result_event = await invoke_tool_with_plugin_live(
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mock_error_tool, mock_plugin
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)
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assert result_event is not None
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part = result_event.content.parts[0]
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assert part.function_response.response == mock_plugin.on_tool_error_response
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@pytest.mark.asyncio
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async def test_live_on_tool_error_fallback_to_runner(
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mock_error_tool, mock_plugin
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):
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mock_plugin.enable_on_tool_error_callback = False
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try:
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await invoke_tool_with_plugin_live(mock_error_tool, mock_plugin)
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except Exception as e:
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assert e == mock_error
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@pytest.mark.asyncio
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async def test_live_plugin_before_tool_callback_takes_priority(
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mock_tool, mock_plugin
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):
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"""Plugin before_tool_callback should run before agent canonical callbacks."""
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mock_plugin.enable_before_tool_callback = True
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def agent_before_cb(tool, args, tool_context):
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return {"agent": "should_not_be_called"}
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model = testing_utils.MockModel.create(responses=[])
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agent = Agent(
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name="agent",
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model=model,
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tools=[mock_tool],
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before_tool_callback=agent_before_cb,
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)
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent, user_content="", plugins=[mock_plugin]
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)
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function_call = types.FunctionCall(name=mock_tool.name, args={})
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content = types.Content(parts=[types.Part(function_call=function_call)])
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event = Event(
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invocation_id=invocation_context.invocation_id,
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author=agent.name,
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content=content,
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)
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tools_dict = {mock_tool.name: mock_tool}
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result_event = await handle_function_calls_live(
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invocation_context, event, tools_dict
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)
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assert result_event is not None
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part = result_event.content.parts[0]
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# Plugin response should win, not the agent callback
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assert part.function_response.response == mock_plugin.before_tool_response
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@pytest.mark.asyncio
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async def test_live_plugin_after_tool_callback_takes_priority(
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mock_tool, mock_plugin
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):
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"""Plugin after_tool_callback should run before agent canonical callbacks."""
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mock_plugin.enable_after_tool_callback = True
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def agent_after_cb(tool, args, tool_context, tool_response):
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return {"agent": "should_not_be_called"}
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model = testing_utils.MockModel.create(responses=[])
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agent = Agent(
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name="agent",
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model=model,
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tools=[mock_tool],
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after_tool_callback=agent_after_cb,
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)
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent, user_content="", plugins=[mock_plugin]
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)
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function_call = types.FunctionCall(name=mock_tool.name, args={})
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content = types.Content(parts=[types.Part(function_call=function_call)])
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event = Event(
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invocation_id=invocation_context.invocation_id,
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author=agent.name,
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content=content,
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)
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tools_dict = {mock_tool.name: mock_tool}
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result_event = await handle_function_calls_live(
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invocation_context, event, tools_dict
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)
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assert result_event is not None
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part = result_event.content.parts[0]
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# Plugin response should win, not the agent callback
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assert part.function_response.response == mock_plugin.after_tool_response
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if __name__ == "__main__":
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pytest.main([__file__])
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