chore: import upstream snapshot with attribution

tests/unittests/tools/test_vertex_ai_load_profiles_tool.py

@@ -0,0 +1,100 @@
+# Copyright 2026 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 types import SimpleNamespace
+
+from google.adk.features import FeatureName
+from google.adk.features._feature_registry import temporary_feature_override
+from google.adk.models.llm_request import LlmRequest
+from google.adk.tools.vertex_ai_load_profiles_tool import VertexAiLoadProfilesTool
+from pytest import mark
+from vertexai import types as vertex_types
+
+
+class _FakeMemoryService:
+  """Minimal profile-providing service for VertexAiLoadProfilesTool tests."""
+
+  def __init__(self, profiles):
+    self._profiles = profiles
+    self.calls = []
+
+  async def retrieve_profiles(self, *, app_name, user_id):
+    self.calls.append((app_name, user_id))
+    return self._profiles
+
+
+class _StubToolContext:
+  """Minimal ToolContext stub exposing only the scope the tool reads."""
+
+  def __init__(self, *, app_name='test-app', user_id='test-user'):
+    self.session = SimpleNamespace(app_name=app_name)
+    self.user_id = user_id
+
+
+@mark.asyncio
+async def test_load_profiles_returns_profile_payloads():
+  memory_service = _FakeMemoryService([
+      vertex_types.MemoryProfile(
+          schema_id='user-profile', profile={'name': 'Kim'}
+      ),
+      vertex_types.MemoryProfile(schema_id='empty', profile={}),
+  ])
+  tool = VertexAiLoadProfilesTool(memory_service=memory_service)
+
+  result = await tool.load_profiles(_StubToolContext())
+
+  assert result == {'profiles': [{'name': 'Kim'}]}
+  assert memory_service.calls == [('test-app', 'test-user')]
+
+
+def test_get_declaration_with_json_schema_feature_disabled():
+  tool = VertexAiLoadProfilesTool(memory_service=_FakeMemoryService([]))
+  with temporary_feature_override(FeatureName.JSON_SCHEMA_FOR_FUNC_DECL, False):
+    declaration = tool._get_declaration()
+
+  assert declaration.name == 'load_profiles'
+  assert declaration.parameters_json_schema is None
+  assert declaration.parameters.properties == {}
+
+
+def test_get_declaration_with_json_schema_feature_enabled():
+  tool = VertexAiLoadProfilesTool(memory_service=_FakeMemoryService([]))
+  with temporary_feature_override(FeatureName.JSON_SCHEMA_FOR_FUNC_DECL, True):
+    declaration = tool._get_declaration()
+
+  assert declaration.name == 'load_profiles'
+  assert declaration.parameters is None
+  assert declaration.parameters_json_schema == {
+      'type': 'object',
+      'properties': {},
+  }
+
+
+@mark.asyncio
+async def test_process_llm_request_registers_tool_only():
+  tool = VertexAiLoadProfilesTool(memory_service=_FakeMemoryService([]))
+  llm_request = LlmRequest()
+
+  await tool.process_llm_request(
+      tool_context=_StubToolContext(),
+      llm_request=llm_request,
+  )
+
+  assert llm_request.config.system_instruction is None
+  assert llm_request.config.tools is not None
+  assert llm_request.config.tools[0].function_declarations is not None
+  assert llm_request.config.tools[0].function_declarations[0].name == (
+      'load_profiles'
+  )
+  assert 'load_profiles' in llm_request.tools_dict