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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

48 lines
1.5 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 google.adk.agents.llm_agent import Agent
from google.adk.tools.tool_context import ToolContext
from google.genai.types import Part
from pydantic import BaseModel
from ... import testing_utils
def test_output_schema():
class CustomOutput(BaseModel):
custom_field: str
response = [
'response1',
]
mockModel = testing_utils.MockModel.create(responses=response)
root_agent = Agent(
name='root_agent',
model=mockModel,
output_schema=CustomOutput,
disallow_transfer_to_parent=True,
disallow_transfer_to_peers=True,
)
runner = testing_utils.InMemoryRunner(root_agent)
assert testing_utils.simplify_events(runner.run('test1')) == [
('root_agent', 'response1'),
]
assert len(mockModel.requests) == 1
assert mockModel.requests[0].config.response_schema == CustomOutput
assert mockModel.requests[0].config.response_mime_type == 'application/json'
assert mockModel.requests[0].config.labels == {'adk_agent_name': 'root_agent'}