Files
wehub-resource-sync ec2b666284
Continuous Integration / Pre-commit Linter (push) Waiting to run
Continuous Integration / Mypy Check (Python 3.10) (push) Waiting to run
Continuous Integration / Mypy Check (Python 3.11) (push) Waiting to run
Continuous Integration / Mypy Check (Python 3.12) (push) Waiting to run
Continuous Integration / Mypy Check (Python 3.13) (push) Waiting to run
Continuous Integration / Unit Tests (Python 3.10) (push) Waiting to run
Continuous Integration / Unit Tests (Python 3.11) (push) Waiting to run
Continuous Integration / Unit Tests (Python 3.12) (push) Waiting to run
Continuous Integration / Unit Tests (Python 3.13) (push) Waiting to run
Continuous Integration / Unit Tests (Python 3.14) (push) Waiting to run
Continuous Integration / A2A v0.3 Tests (Python 3.10) (push) Waiting to run
Continuous Integration / A2A v0.3 Tests (Python 3.11) (push) Waiting to run
Continuous Integration / A2A v0.3 Tests (Python 3.12) (push) Waiting to run
Continuous Integration / A2A v0.3 Tests (Python 3.13) (push) Waiting to run
Continuous Integration / A2A v0.3 Tests (Python 3.14) (push) Waiting to run
Copybara PR Handler / close-imported-pr (push) Waiting to run
chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

120 lines
3.7 KiB
Python

# 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