test: add langchain-google-genai integration tests for RAI features (…

tests/agents/langchain/test_langchain_google_genai.py

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+# Copyright (C) 2025 Robotec.AI
+#
+# 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.
+import os
+from unittest.mock import MagicMock, patch
+
+import pytest
+from langchain_google_genai import ChatGoogleGenerativeAI
+
+
+class TestLangChainGoogleGenAIIntegration:
+    """Test suite for RAI features with langchain-google-genai integration."""
+
+    def test_google_genai_model_initialization(self):
+        """Test that ChatGoogleGenerativeAI can be initialized with proper configuration."""
+        with patch.dict(os.environ, {"GOOGLE_API_KEY": "test_key"}):
+            # Test model initialization
+            model = ChatGoogleGenerativeAI(
+                model="gemini-1.5-pro",
+                temperature=0.7,
+            )
+            assert model is not None
+            assert model.model_name == "gemini-1.5-pro"
+
+    def test_google_genai_basic_invocation(self):
+        """Test basic invocation of Google GenAI model."""
+        with patch.dict(os.environ, {"GOOGLE_API_KEY": "test_key"}):
+            # Mock the API call
+            mock_response = MagicMock()
+            mock_response.content = "Test response from Google GenAI"
+
+            model = ChatGoogleGenerativeAI(
+                model="gemini-1.5-pro",
+                temperature=0.7,
+            )
+
+            with patch.object(model, "invoke", return_value=mock_response):
+                response = model.invoke("Hello, test message")
+                assert response.content == "Test response from Google GenAI"
+
+    def test_google_genai_with_system_prompt(self):
+        """Test Google GenAI with system prompt configuration."""
+        with patch.dict(os.environ, {"GOOGLE_API_KEY": "test_key"}):
+            model = ChatGoogleGenerativeAI(
+                model="gemini-1.5-pro",
+                temperature=0.5,
+                top_p=0.9,
+            )
+            assert model is not None
+
+    def test_google_genai_streaming_capability(self):
+        """Test streaming capability with Google GenAI model."""
+        with patch.dict(os.environ, {"GOOGLE_API_KEY": "test_key"}):
+            model = ChatGoogleGenerativeAI(
+                model="gemini-1.5-pro",
+                temperature=0.7,
+                streaming=True,
+            )
+            assert model is not None
+
+    def test_google_genai_model_parameters(self):
+        """Test that Google GenAI accepts proper model parameters."""
+        with patch.dict(os.environ, {"GOOGLE_API_KEY": "test_key"}):
+            model = ChatGoogleGenerativeAI(
+                model="gemini-1.5-pro",
+                temperature=0.3,
+                max_output_tokens=512,
+                top_p=0.95,
+                top_k=40,
+            )
+            assert model is not None
+            assert model.temperature == 0.3
+
+    @patch("langchain_google_genai.ChatGoogleGenerativeAI.invoke")
+    def test_google_genai_error_handling(self, mock_invoke):
+        """Test error handling for Google GenAI API failures."""
+        with patch.dict(os.environ, {"GOOGLE_API_KEY": "test_key"}):
+            mock_invoke.side_effect = Exception("API Error")
+
+            model = ChatGoogleGenerativeAI(model="gemini-1.5-pro")
+
+            with pytest.raises(Exception, match="API Error"):
+                model.invoke("Test message")
+
+    def test_google_genai_model_variants(self):
+        """Test that available Google GenAI model variants are supported."""
+        supported_models = [
+            "gemini-1.5-pro",
+            "gemini-1.5-flash",
+            "gemini-2.0-flash",
+        ]
+
+        with patch.dict(os.environ, {"GOOGLE_API_KEY": "test_key"}):
+            for model_name in supported_models:
+                model = ChatGoogleGenerativeAI(model=model_name)
+                assert model is not None
+
+    def test_google_genai_with_default_parameters(self):
+        """Test Google GenAI initialization with default parameters."""
+        with patch.dict(os.environ, {"GOOGLE_API_KEY": "test_key"}):
+            model = ChatGoogleGenerativeAI()
+            assert model is not None