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

58 lines
1.7 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 google.adk.models.gemma_llm import Gemma
from google.adk.models.llm_request import LlmRequest
from google.adk.models.llm_response import LlmResponse
from google.genai import types
from google.genai.types import Content
from google.genai.types import Part
import pytest
DEFAULT_GEMMA_MODEL = "gemma-3-1b-it"
@pytest.fixture
def gemma_llm():
return Gemma(model=DEFAULT_GEMMA_MODEL)
@pytest.fixture
def gemma_request():
return LlmRequest(
model=DEFAULT_GEMMA_MODEL,
contents=[
Content(
role="user",
parts=[
Part.from_text(text="You are a helpful assistant."),
Part.from_text(text="Hello!"),
],
)
],
config=types.GenerateContentConfig(
temperature=0.1,
response_modalities=[types.Modality.TEXT],
system_instruction="Talk like a pirate.",
),
)
@pytest.mark.asyncio
@pytest.mark.parametrize("llm_backend", ["GOOGLE_AI"])
async def test_generate_content_async(gemma_llm, gemma_request):
async for response in gemma_llm.generate_content_async(gemma_request):
assert isinstance(response, LlmResponse)
assert response.content.parts[0].text