chore: import upstream snapshot with attribution
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This commit is contained in:
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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 __future__ import annotations
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from typing import Any
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from unittest.mock import Mock
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from google.adk.agents.base_agent import BaseAgent
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from google.adk.agents.callback_context import CallbackContext
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from google.adk.models.llm_request import LlmRequest
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from google.adk.plugins.multimodal_tool_results_plugin import MultimodalToolResultsPlugin
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from google.adk.plugins.multimodal_tool_results_plugin import PARTS_RETURNED_BY_TOOLS_ID
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from google.adk.tools.base_tool import BaseTool
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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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import pytest
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from .. import testing_utils
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@pytest.fixture
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def plugin() -> MultimodalToolResultsPlugin:
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"""Create a default plugin instance for testing."""
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return MultimodalToolResultsPlugin()
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@pytest.fixture
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def mock_tool() -> MockTool:
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"""Create a mock tool for testing."""
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return Mock(spec=BaseTool)
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@pytest.fixture
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async def tool_context() -> ToolContext:
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"""Create a mock tool context."""
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return ToolContext(
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invocation_context=await testing_utils.create_invocation_context(
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agent=Mock(spec=BaseAgent)
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)
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)
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@pytest.mark.asyncio
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async def test_tool_returning_parts_are_added_to_llm_request(
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plugin: MultimodalToolResultsPlugin,
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mock_tool: MockTool,
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tool_context: ToolContext,
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):
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"""Test that parts returned by a tool are present in the llm_request later."""
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parts = [types.Part(text="part1"), types.Part(text="part2")]
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result = await plugin.after_tool_callback(
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tool=mock_tool,
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tool_args={},
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tool_context=tool_context,
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result=parts,
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)
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assert result == None
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assert PARTS_RETURNED_BY_TOOLS_ID in tool_context.state
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assert tool_context.state[PARTS_RETURNED_BY_TOOLS_ID] == parts
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callback_context = Mock(spec=CallbackContext)
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callback_context.state = tool_context.state
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llm_request = LlmRequest(contents=[types.Content(parts=[])])
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await plugin.before_model_callback(
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callback_context=callback_context, llm_request=llm_request
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)
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assert llm_request.contents[-1].parts == parts
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@pytest.mark.asyncio
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async def test_tool_returning_non_list_of_parts_is_unchanged(
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plugin: MultimodalToolResultsPlugin,
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mock_tool: MockTool,
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tool_context: ToolContext,
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):
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"""Test where tool returning non list of parts, has this result unchanged."""
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original_result = {"some": "data"}
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result = await plugin.after_tool_callback(
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tool=mock_tool,
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tool_args={},
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tool_context=tool_context,
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result=original_result,
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)
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assert result == original_result
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assert PARTS_RETURNED_BY_TOOLS_ID not in tool_context.state
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callback_context = Mock(spec=CallbackContext)
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callback_context.state = tool_context.state
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llm_request = LlmRequest(
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contents=[types.Content(parts=[types.Part(text="original")])]
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)
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original_parts = list(llm_request.contents[-1].parts)
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await plugin.before_model_callback(
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callback_context=callback_context, llm_request=llm_request
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)
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assert llm_request.contents[-1].parts == original_parts
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@pytest.mark.asyncio
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async def test_multiple_tools_returning_parts_are_accumulated(
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plugin: ToolReturningGenAiPartsPlugin,
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mock_tool: MockTool,
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tool_context: ToolContext,
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):
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"""Test that parts from multiple tool calls are accumulated."""
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parts1 = [types.Part(text="part1")]
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parts2 = [types.Part(text="part2")]
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await plugin.after_tool_callback(
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tool=mock_tool,
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tool_args={},
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tool_context=tool_context,
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result=parts1,
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)
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await plugin.after_tool_callback(
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tool=mock_tool,
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tool_args={},
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tool_context=tool_context,
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result=parts2,
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)
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assert PARTS_RETURNED_BY_TOOLS_ID in tool_context.state
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assert tool_context.state[PARTS_RETURNED_BY_TOOLS_ID] == parts1 + parts2
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callback_context = Mock(spec=CallbackContext)
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callback_context.state = tool_context.state
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llm_request = LlmRequest(contents=[types.Content(parts=[])])
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await plugin.before_model_callback(
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callback_context=callback_context, llm_request=llm_request
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)
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assert llm_request.contents[-1].parts == parts1 + parts2
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