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PiperOrigin-RevId: 748777998

tests/integration/models/__init__.py

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+# Copyright 2025 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.
+

tests/integration/models/test_google_llm.py

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+# Copyright 2025 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 import LlmRequest
+from google.adk.models import LlmResponse
+from google.adk.models.google_llm import Gemini
+from google.genai import types
+from google.genai.types import Content
+from google.genai.types import Part
+import pytest
+
+
+@pytest.fixture
+def gemini_llm():
+  return Gemini(model="gemini-1.5-flash")
+
+
+@pytest.fixture
+def llm_request():
+  return LlmRequest(
+      model="gemini-1.5-flash",
+      contents=[Content(role="user", parts=[Part.from_text(text="Hello")])],
+      config=types.GenerateContentConfig(
+          temperature=0.1,
+          response_modalities=[types.Modality.TEXT],
+          system_instruction="You are a helpful assistant",
+      ),
+  )
+
+
+@pytest.mark.asyncio
+async def test_generate_content_async(gemini_llm, llm_request):
+  async for response in gemini_llm.generate_content_async(llm_request):
+    assert isinstance(response, LlmResponse)
+    assert response.content.parts[0].text
+
+
+@pytest.mark.asyncio
+async def test_generate_content_async_stream(gemini_llm, llm_request):
+  responses = [
+      resp
+      async for resp in gemini_llm.generate_content_async(
+          llm_request, stream=True
+      )
+  ]
+  text = ""
+  for i in range(len(responses) - 1):
+    assert responses[i].partial is True
+    assert responses[i].content.parts[0].text
+    text += responses[i].content.parts[0].text
+
+  # Last message should be accumulated text
+  assert responses[-1].content.parts[0].text == text
+  assert not responses[-1].partial