chore: import upstream snapshot with attribution

tests/unittests/tools/test_request_input_tool.py

@@ -0,0 +1,116 @@
+# 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 unittest.mock import MagicMock
+
+from google.adk.tools._request_input_tool import request_input
+from google.adk.tools.long_running_tool import LongRunningFunctionTool
+from google.adk.tools.tool_context import ToolContext
+import pytest
+
+
+class TestRequestInputTool:
+  """Test cases for RequestInputTool integration and properties."""
+
+  def test_init(self):
+    """request_input initializes with correct name and properties."""
+    # Given & When & Then
+    assert request_input.name == 'adk_request_input'
+    assert request_input.is_long_running is True
+    assert isinstance(request_input, LongRunningFunctionTool)
+    assert (
+        'Ask the user a question and wait for their response'
+        in request_input.description
+    )
+
+  def test_get_declaration(self):
+    """request_input returns a function declaration with correct parameters."""
+    # Given & When
+    declaration = request_input._get_declaration()
+
+    # Then
+    assert declaration is not None
+    assert declaration.name == 'adk_request_input'
+    assert 'Ask the user a question' in declaration.description
+
+    # Verify the parameter schema matches the declaration
+    parameters = declaration.parameters
+    parameters_schema = declaration.parameters_json_schema
+    assert (parameters is not None) or (parameters_schema is not None)
+
+    if parameters_schema is not None:
+      # Verify camelCase / snake_case properties in JSON schema format
+      assert 'message' in parameters_schema['properties']
+      assert (
+          'response_schema' in parameters_schema['properties']
+          or 'responseSchema' in parameters_schema['properties']
+      )
+      assert 'message' in parameters_schema['required']
+
+      # Check parameter type specifications
+      assert parameters_schema['properties']['message']['type'] == 'string'
+    else:
+      # Verify types.Schema format
+      assert 'message' in parameters.properties
+      assert 'response_schema' in parameters.properties
+      assert 'message' in parameters.required
+
+      # Check parameter type specifications
+      from google.genai import types
+
+      assert parameters.properties['message'].type == types.Type.STRING
+
+  @pytest.mark.asyncio
+  async def test_run_async_returns_none(self):
+    """request_input execution returns None to trigger LRO suspension."""
+    # Given
+    args = {'message': 'What is your name?'}
+    tool_context = MagicMock(spec=ToolContext)
+
+    # When
+    result = await request_input.run_async(args=args, tool_context=tool_context)
+
+    # Then
+    assert result is None
+
+  @pytest.mark.asyncio
+  async def test_run_async_with_schema_argument_returns_none(self):
+    """request_input handles both simple text and structured schema arguments correctly."""
+    # Given
+    args = {
+        'message': 'Enter your username:',
+        'response_schema': {'type': 'string'},
+    }
+    tool_context = MagicMock(spec=ToolContext)
+
+    # When
+    result = await request_input.run_async(args=args, tool_context=tool_context)
+
+    # Then
+    assert result is None
+
+  @pytest.mark.asyncio
+  async def test_run_async_missing_mandatory_message_returns_error(self):
+    """request_input returns an error dict if the mandatory 'message' argument is missing."""
+    # Given
+    args = {'response_schema': {'type': 'string'}}
+    tool_context = MagicMock(spec=ToolContext)
+
+    # When
+    result = await request_input.run_async(args=args, tool_context=tool_context)
+
+    # Then
+    assert isinstance(result, dict)
+    assert 'error' in result
+    assert 'mandatory input parameters are not present' in result['error']