Add unit and integration tests for synthetic data kit provider

These tests follow Llama Stack's provider
testing guidelines to validate:
- Configuration handling and environment variables work as expected
- Provider implementation behaves correctly in both unit and integration scenarios
- Error cases are properly handled
- Integration with Llama Stack's client SDK functions properly

Signed-off-by: Alina Ryan <aliryan@redhat.com>

tests/integration/providers/inline/synthetic_data_generation/test_synthetic_data_kit_integration.py

@@ -0,0 +1,101 @@
+import os
+import pytest
+from typing import cast
+
+from llama_stack.apis.inference import Message
+from llama_stack.apis.synthetic_data_generation import (
+    SyntheticDataGeneration,
+    FilteringFunction,
+)
+from llama_stack.apis.synthetic_data_generation.providers import get_provider_impl
+from llama_stack.distribution.client import LlamaStackAsLibraryClient
+
+
+@pytest.fixture
+async def client():
+    # Use LlamaStackAsLibraryClient for inline testing
+    return LlamaStackAsLibraryClient()
+
+
+@pytest.mark.asyncio
+async def test_synthetic_data_kit_provider_integration(client: LlamaStackAsLibraryClient):
+    provider = await get_provider_impl()
+    assert isinstance(provider, SyntheticDataGeneration)
+
+    # Test single message generation
+    dialogs = [
+        Message(role="user", content="What is artificial intelligence?"),
+    ]
+    
+    response = await provider.synthetic_data_generate(
+        dialogs=dialogs,
+        filtering_function=FilteringFunction.none,
+    )
+    
+    assert response.synthetic_data is not None
+    assert len(response.synthetic_data) > 0
+    assert all(isinstance(item, dict) for item in response.synthetic_data)
+    assert all("question" in item and "answer" in item for item in response.synthetic_data)
+
+
+@pytest.mark.asyncio
+async def test_synthetic_data_kit_provider_with_filtering(client: LlamaStackAsLibraryClient):
+    provider = await get_provider_impl()
+    
+    # Test generation with filtering
+    dialogs = [
+        Message(role="user", content="Explain quantum computing."),
+        Message(role="assistant", content="Quantum computing uses quantum mechanics..."),
+    ]
+    
+    response = await provider.synthetic_data_generate(
+        dialogs=dialogs,
+        filtering_function=FilteringFunction.top_k,
+    )
+    
+    assert response.synthetic_data is not None
+    assert len(response.synthetic_data) > 0
+    assert response.statistics is not None
+    assert "threshold" in response.statistics
+
+
+@pytest.mark.asyncio
+async def test_synthetic_data_kit_provider_error_handling(client: LlamaStackAsLibraryClient):
+    provider = await get_provider_impl()
+    
+    # Test with empty dialogs
+    with pytest.raises(ValueError):
+        await provider.synthetic_data_generate(
+            dialogs=[],
+            filtering_function=FilteringFunction.none,
+        )
+    
+    # Test with invalid model
+    with pytest.raises(RuntimeError):
+        await provider.synthetic_data_generate(
+            dialogs=[Message(role="user", content="Test")],
+            filtering_function=FilteringFunction.none,
+            model="invalid-model",
+        )
+
+
+@pytest.mark.asyncio
+async def test_synthetic_data_kit_provider_with_env_config(client: LlamaStackAsLibraryClient):
+    # Set environment variables for testing
+    os.environ["SYNTHETIC_DATA_KIT_MODEL"] = "meta-llama/Llama-3.2-7B-Instruct"
+    
+    provider = await get_provider_impl()
+    dialogs = [
+        Message(role="user", content="What is deep learning?"),
+        Message(role="assistant", content="Deep learning is a subset of machine learning..."),
+    ]
+    
+    response = await provider.synthetic_data_generate(
+        dialogs=dialogs,
+        filtering_function=FilteringFunction.none,
+    )
+    
+    assert response.synthetic_data is not None
+    assert len(response.synthetic_data) > 0
+    # Clean up environment
+    del os.environ["SYNTHETIC_DATA_KIT_MODEL"]