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feat: Allow toolset to process llm_request before tools returned by it
PiperOrigin-RevId: 785480813
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Copybara-Service
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commit
3643b4ae19
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# 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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"""Unit tests for BaseToolset."""
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from typing import Optional
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from google.adk.agents.invocation_context import InvocationContext
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from google.adk.agents.readonly_context import ReadonlyContext
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from google.adk.agents.sequential_agent import SequentialAgent
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from google.adk.models.llm_request import LlmRequest
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from google.adk.sessions.in_memory_session_service import InMemorySessionService
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from google.adk.tools.base_tool import BaseTool
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from google.adk.tools.base_toolset import BaseToolset
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from google.adk.tools.tool_context import ToolContext
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import pytest
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class _TestingToolset(BaseToolset):
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"""A test implementation of BaseToolset."""
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async def get_tools(
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self, readonly_context: Optional[ReadonlyContext] = None
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) -> list[BaseTool]:
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return []
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async def close(self) -> None:
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pass
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@pytest.mark.asyncio
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async def test_process_llm_request_default_implementation():
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"""Test that the default process_llm_request implementation does nothing."""
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toolset = _TestingToolset()
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# Create test objects
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session_service = InMemorySessionService()
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session = await session_service.create_session(
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app_name='test_app', user_id='test_user'
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)
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agent = SequentialAgent(name='test_agent')
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invocation_context = InvocationContext(
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invocation_id='test_id',
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agent=agent,
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session=session,
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session_service=session_service,
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)
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tool_context = ToolContext(invocation_context)
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llm_request = LlmRequest()
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# The default implementation should not modify the request
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original_request = LlmRequest.model_validate(llm_request.model_dump())
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await toolset.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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# Verify the request was not modified
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assert llm_request.model_dump() == original_request.model_dump()
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@pytest.mark.asyncio
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async def test_process_llm_request_can_be_overridden():
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"""Test that process_llm_request can be overridden by subclasses."""
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class _CustomToolset(_TestingToolset):
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async def process_llm_request(
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self, *, tool_context: ToolContext, llm_request: LlmRequest
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) -> None:
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# Add some custom processing
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if not llm_request.contents:
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llm_request.contents = []
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llm_request.contents.append('Custom processing applied')
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toolset = _CustomToolset()
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# Create test objects
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session_service = InMemorySessionService()
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session = await session_service.create_session(
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app_name='test_app', user_id='test_user'
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)
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agent = SequentialAgent(name='test_agent')
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invocation_context = InvocationContext(
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invocation_id='test_id',
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agent=agent,
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session=session,
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session_service=session_service,
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)
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tool_context = ToolContext(invocation_context)
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llm_request = LlmRequest()
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await toolset.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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# Verify the custom processing was applied
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assert llm_request.contents == ['Custom processing applied']
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