mirror of
https://github.com/encounter/adk-python.git
synced 2026-07-09 18:19:28 -07:00
feat: add plugin for returning GenAI Parts from tools into the model request
Added to mitigate https://github.com/google/adk-python/issues/3064 Co-authored-by: Max Ind <maxind@google.com> PiperOrigin-RevId: 830135940
This commit is contained in:
committed by
Copybara-Service
parent
e218254495
commit
116b26c33e
@@ -0,0 +1,15 @@
|
|||||||
|
# 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 . import agent
|
||||||
@@ -0,0 +1,41 @@
|
|||||||
|
# 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 google.adk.agents import LlmAgent
|
||||||
|
from google.adk.apps.app import App
|
||||||
|
from google.adk.plugins.multimodal_tool_results_plugin import MultimodalToolResultsPlugin
|
||||||
|
from google.genai import types
|
||||||
|
|
||||||
|
APP_NAME = "multimodal_tool_results"
|
||||||
|
USER_ID = "test_user"
|
||||||
|
|
||||||
|
|
||||||
|
def get_image():
|
||||||
|
return [types.Part.from_uri(file_uri="gs://replace_with_your_image_uri")]
|
||||||
|
|
||||||
|
|
||||||
|
root_agent = LlmAgent(
|
||||||
|
name="image_describing_agent",
|
||||||
|
description="image describing agent",
|
||||||
|
instruction="""Whatever the user says, get the image using the get_image tool, and describe it.""",
|
||||||
|
model="gemini-2.0-flash",
|
||||||
|
tools=[get_image],
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
app = App(
|
||||||
|
name=APP_NAME,
|
||||||
|
root_agent=root_agent,
|
||||||
|
plugins=[MultimodalToolResultsPlugin()],
|
||||||
|
)
|
||||||
@@ -0,0 +1,90 @@
|
|||||||
|
# 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 __future__ import annotations
|
||||||
|
|
||||||
|
from typing import Any
|
||||||
|
from typing import Optional
|
||||||
|
|
||||||
|
from google.genai import types
|
||||||
|
|
||||||
|
from ..agents.callback_context import CallbackContext
|
||||||
|
from ..models.llm_request import LlmRequest
|
||||||
|
from ..models.llm_response import LlmResponse
|
||||||
|
from ..tools.base_tool import BaseTool
|
||||||
|
from ..tools.tool_context import ToolContext
|
||||||
|
from .base_plugin import BasePlugin
|
||||||
|
|
||||||
|
PARTS_RETURNED_BY_TOOLS_ID = "temp:PARTS_RETURNED_BY_TOOLS_ID"
|
||||||
|
|
||||||
|
|
||||||
|
class MultimodalToolResultsPlugin(BasePlugin):
|
||||||
|
"""A plugin that modifies function tool responses to support returning list of parts directly.
|
||||||
|
|
||||||
|
Should be removed in favor of directly supporting FunctionResponsePart when these
|
||||||
|
are supported outside of computer use tool.
|
||||||
|
For context see: https://github.com/google/adk-python/issues/3064#issuecomment-3463067459
|
||||||
|
"""
|
||||||
|
|
||||||
|
def __init__(self, name: str = "multimodal_tool_results_plugin"):
|
||||||
|
"""Initialize the multimodal tool results plugin.
|
||||||
|
|
||||||
|
Args:
|
||||||
|
name: The name of the plugin instance.
|
||||||
|
"""
|
||||||
|
super().__init__(name)
|
||||||
|
|
||||||
|
async def after_tool_callback(
|
||||||
|
self,
|
||||||
|
*,
|
||||||
|
tool: BaseTool,
|
||||||
|
tool_args: dict[str, Any],
|
||||||
|
tool_context: ToolContext,
|
||||||
|
result: dict,
|
||||||
|
) -> Optional[dict]:
|
||||||
|
"""Saves parts returned by the tool in ToolContext.
|
||||||
|
|
||||||
|
Later these are passed to LLM's context as-is.
|
||||||
|
No-op if tool doesn't return list[google.genai.types.Part] or google.genai.types.Part.
|
||||||
|
"""
|
||||||
|
|
||||||
|
if not (
|
||||||
|
isinstance(result, types.Part)
|
||||||
|
or isinstance(result, list)
|
||||||
|
and result
|
||||||
|
and isinstance(result[0], types.Part)
|
||||||
|
):
|
||||||
|
return result
|
||||||
|
|
||||||
|
parts = [result] if isinstance(result, types.Part) else result[:]
|
||||||
|
|
||||||
|
if PARTS_RETURNED_BY_TOOLS_ID in tool_context.state:
|
||||||
|
tool_context.state[PARTS_RETURNED_BY_TOOLS_ID] += parts
|
||||||
|
else:
|
||||||
|
tool_context.state[PARTS_RETURNED_BY_TOOLS_ID] = parts
|
||||||
|
|
||||||
|
return None
|
||||||
|
|
||||||
|
async def before_model_callback(
|
||||||
|
self, *, callback_context: CallbackContext, llm_request: LlmRequest
|
||||||
|
) -> Optional[LlmResponse]:
|
||||||
|
"""Attach saved list[google.genai.types.Part] returned by the tool to llm_request."""
|
||||||
|
|
||||||
|
if saved_parts := callback_context.state.get(
|
||||||
|
PARTS_RETURNED_BY_TOOLS_ID, None
|
||||||
|
):
|
||||||
|
llm_request.contents[-1].parts += saved_parts
|
||||||
|
callback_context.state.update({PARTS_RETURNED_BY_TOOLS_ID: []})
|
||||||
|
|
||||||
|
return None
|
||||||
@@ -0,0 +1,154 @@
|
|||||||
|
# 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 __future__ import annotations
|
||||||
|
|
||||||
|
from typing import Any
|
||||||
|
from unittest.mock import Mock
|
||||||
|
|
||||||
|
from google.adk.agents.base_agent import BaseAgent
|
||||||
|
from google.adk.agents.callback_context import CallbackContext
|
||||||
|
from google.adk.models.llm_request import LlmRequest
|
||||||
|
from google.adk.plugins.multimodal_tool_results_plugin import MultimodalToolResultsPlugin
|
||||||
|
from google.adk.plugins.multimodal_tool_results_plugin import PARTS_RETURNED_BY_TOOLS_ID
|
||||||
|
from google.adk.tools.base_tool import BaseTool
|
||||||
|
from google.adk.tools.tool_context import ToolContext
|
||||||
|
from google.genai import types
|
||||||
|
import pytest
|
||||||
|
|
||||||
|
from .. import testing_utils
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
def plugin() -> MultimodalToolResultsPlugin:
|
||||||
|
"""Create a default plugin instance for testing."""
|
||||||
|
return MultimodalToolResultsPlugin()
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
def mock_tool() -> MockTool:
|
||||||
|
"""Create a mock tool for testing."""
|
||||||
|
return Mock(spec=BaseTool)
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture
|
||||||
|
async def tool_context() -> ToolContext:
|
||||||
|
"""Create a mock tool context."""
|
||||||
|
return ToolContext(
|
||||||
|
invocation_context=await testing_utils.create_invocation_context(
|
||||||
|
agent=Mock(spec=BaseAgent)
|
||||||
|
)
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.asyncio
|
||||||
|
async def test_tool_returning_parts_are_added_to_llm_request(
|
||||||
|
plugin: MultimodalToolResultsPlugin,
|
||||||
|
mock_tool: MockTool,
|
||||||
|
tool_context: ToolContext,
|
||||||
|
):
|
||||||
|
"""Test that parts returned by a tool are present in the llm_request later."""
|
||||||
|
parts = [types.Part(text="part1"), types.Part(text="part2")]
|
||||||
|
|
||||||
|
result = await plugin.after_tool_callback(
|
||||||
|
tool=mock_tool,
|
||||||
|
tool_args={},
|
||||||
|
tool_context=tool_context,
|
||||||
|
result=parts,
|
||||||
|
)
|
||||||
|
|
||||||
|
assert result == None
|
||||||
|
assert PARTS_RETURNED_BY_TOOLS_ID in tool_context.state
|
||||||
|
assert tool_context.state[PARTS_RETURNED_BY_TOOLS_ID] == parts
|
||||||
|
|
||||||
|
callback_context = Mock(spec=CallbackContext)
|
||||||
|
callback_context.state = tool_context.state
|
||||||
|
llm_request = LlmRequest(contents=[types.Content(parts=[])])
|
||||||
|
|
||||||
|
await plugin.before_model_callback(
|
||||||
|
callback_context=callback_context, llm_request=llm_request
|
||||||
|
)
|
||||||
|
|
||||||
|
assert llm_request.contents[-1].parts == parts
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.asyncio
|
||||||
|
async def test_tool_returning_non_list_of_parts_is_unchanged(
|
||||||
|
plugin: MultimodalToolResultsPlugin,
|
||||||
|
mock_tool: MockTool,
|
||||||
|
tool_context: ToolContext,
|
||||||
|
):
|
||||||
|
"""Test where tool returning non list of parts, has this result unchanged."""
|
||||||
|
original_result = {"some": "data"}
|
||||||
|
|
||||||
|
result = await plugin.after_tool_callback(
|
||||||
|
tool=mock_tool,
|
||||||
|
tool_args={},
|
||||||
|
tool_context=tool_context,
|
||||||
|
result=original_result,
|
||||||
|
)
|
||||||
|
|
||||||
|
assert result == original_result
|
||||||
|
assert PARTS_RETURNED_BY_TOOLS_ID not in tool_context.state
|
||||||
|
|
||||||
|
callback_context = Mock(spec=CallbackContext)
|
||||||
|
callback_context.state = tool_context.state
|
||||||
|
llm_request = LlmRequest(
|
||||||
|
contents=[types.Content(parts=[types.Part(text="original")])]
|
||||||
|
)
|
||||||
|
original_parts = list(llm_request.contents[-1].parts)
|
||||||
|
|
||||||
|
await plugin.before_model_callback(
|
||||||
|
callback_context=callback_context, llm_request=llm_request
|
||||||
|
)
|
||||||
|
|
||||||
|
assert llm_request.contents[-1].parts == original_parts
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.asyncio
|
||||||
|
async def test_multiple_tools_returning_parts_are_accumulated(
|
||||||
|
plugin: ToolReturningGenAiPartsPlugin,
|
||||||
|
mock_tool: MockTool,
|
||||||
|
tool_context: ToolContext,
|
||||||
|
):
|
||||||
|
"""Test that parts from multiple tool calls are accumulated."""
|
||||||
|
parts1 = [types.Part(text="part1")]
|
||||||
|
parts2 = [types.Part(text="part2")]
|
||||||
|
|
||||||
|
await plugin.after_tool_callback(
|
||||||
|
tool=mock_tool,
|
||||||
|
tool_args={},
|
||||||
|
tool_context=tool_context,
|
||||||
|
result=parts1,
|
||||||
|
)
|
||||||
|
|
||||||
|
await plugin.after_tool_callback(
|
||||||
|
tool=mock_tool,
|
||||||
|
tool_args={},
|
||||||
|
tool_context=tool_context,
|
||||||
|
result=parts2,
|
||||||
|
)
|
||||||
|
|
||||||
|
assert PARTS_RETURNED_BY_TOOLS_ID in tool_context.state
|
||||||
|
assert tool_context.state[PARTS_RETURNED_BY_TOOLS_ID] == parts1 + parts2
|
||||||
|
|
||||||
|
callback_context = Mock(spec=CallbackContext)
|
||||||
|
callback_context.state = tool_context.state
|
||||||
|
llm_request = LlmRequest(contents=[types.Content(parts=[])])
|
||||||
|
|
||||||
|
await plugin.before_model_callback(
|
||||||
|
callback_context=callback_context, llm_request=llm_request
|
||||||
|
)
|
||||||
|
|
||||||
|
assert llm_request.contents[-1].parts == parts1 + parts2
|
||||||
Reference in New Issue
Block a user