chore: import upstream snapshot with attribution

tests/unittests/utils/test_output_schema_utils.py

@@ -0,0 +1,119 @@
+# 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 __future__ import annotations
+
+import importlib.util
+
+from google.adk.models.base_llm import BaseLlm
+from google.adk.models.google_llm import Gemini
+from google.adk.utils.output_schema_utils import can_use_output_schema_with_tools
+import pytest
+
+_has_anthropic = importlib.util.find_spec("anthropic") is not None
+_has_litellm = importlib.util.find_spec("litellm") is not None
+
+_skip_anthropic = pytest.mark.skipif(
+    not _has_anthropic, reason="anthropic not installed"
+)
+_skip_litellm = pytest.mark.skipif(
+    not _has_litellm, reason="litellm not installed"
+)
+
+
+def _make_claude(model: str):
+  from google.adk.models.anthropic_llm import Claude
+
+  return Claude(model=model)
+
+
+def _make_litellm(model: str):
+  from google.adk.models.lite_llm import LiteLlm
+
+  return LiteLlm(model=model)
+
+
+@pytest.mark.parametrize(
+    "model, env_value, expected",
+    [
+        ("gemini-2.5-pro", "1", True),
+        ("gemini-2.5-pro", "0", False),
+        ("gemini-2.5-pro", None, False),
+        (Gemini(model="gemini-2.5-pro"), "1", True),
+        (Gemini(model="gemini-2.5-pro"), "0", False),
+        (Gemini(model="gemini-2.5-pro"), None, False),
+        ("gemini-2.5-flash", "1", True),
+        ("gemini-2.5-flash", "0", False),
+        ("gemini-2.5-flash", None, False),
+        ("gemini-1.5-pro", "1", False),
+        ("gemini-1.5-pro", "0", False),
+        ("gemini-1.5-pro", None, False),
+    ],
+)
+def test_can_use_output_schema_with_tools(
+    monkeypatch: pytest.MonkeyPatch,
+    model: str | BaseLlm,
+    env_value: str | None,
+    expected: bool,
+) -> None:
+  """Test can_use_output_schema_with_tools."""
+  if env_value is not None:
+    monkeypatch.setenv("GOOGLE_GENAI_USE_ENTERPRISE", env_value)
+  else:
+    monkeypatch.delenv("GOOGLE_GENAI_USE_ENTERPRISE", raising=False)
+  assert can_use_output_schema_with_tools(model) == expected
+
+
+@_skip_anthropic
+@pytest.mark.parametrize(
+    "model, env_value, expected",
+    [
+        ("claude-3.7-sonnet", "1", False),
+        ("claude-3.7-sonnet", "0", False),
+        ("claude-3.7-sonnet", None, False),
+    ],
+)
+def test_can_use_output_schema_with_tools_claude(
+    monkeypatch, model, env_value, expected
+):
+  """Test can_use_output_schema_with_tools with Claude models."""
+  claude_model = _make_claude(model)
+  if env_value is not None:
+    monkeypatch.setenv("GOOGLE_GENAI_USE_ENTERPRISE", env_value)
+  else:
+    monkeypatch.delenv("GOOGLE_GENAI_USE_ENTERPRISE", raising=False)
+  assert can_use_output_schema_with_tools(claude_model) == expected
+
+
+@_skip_litellm
+@pytest.mark.parametrize(
+    "model, env_value, expected",
+    [
+        ("openai/gpt-4o", "1", True),
+        ("openai/gpt-4o", "0", True),
+        ("openai/gpt-4o", None, True),
+        ("anthropic/claude-3.7-sonnet", None, True),
+        ("fireworks_ai/llama-v3p1-70b", None, True),
+    ],
+)
+def test_can_use_output_schema_with_tools_litellm(
+    monkeypatch, model, env_value, expected
+):
+  """Test can_use_output_schema_with_tools with LiteLLM models."""
+  litellm_model = _make_litellm(model)
+  if env_value is not None:
+    monkeypatch.setenv("GOOGLE_GENAI_USE_ENTERPRISE", env_value)
+  else:
+    monkeypatch.delenv("GOOGLE_GENAI_USE_ENTERPRISE", raising=False)
+  assert can_use_output_schema_with_tools(litellm_model) == expected