""" Simple validation tests for the new LLM service integration. Tests basic functionality without complex mocking. """ import pytest from httpx import AsyncClient from unittest.mock import patch, MagicMock class TestLLMServiceValidation: """Basic validation tests for LLM service integration.""" @pytest.mark.asyncio async def test_llm_models_endpoint_exists(self, client: AsyncClient): """Test that the LLM models endpoint exists and is accessible.""" response = await client.get( "/api/v1/llm/models", headers={"Authorization": "Bearer test-api-key"} ) # Should not return 404 (endpoint exists) assert response.status_code != 404 # May return 500 or other error due to missing LLM service, but endpoint exists @pytest.mark.asyncio async def test_llm_chat_endpoint_exists(self, client: AsyncClient): """Test that the LLM chat endpoint exists and is accessible.""" response = await client.post( "/api/v1/llm/chat/completions", json={ "model": "test-model", "messages": [ {"role": "user", "content": "Hello"} ] }, headers={"Authorization": "Bearer test-api-key"} ) # Should not return 404 (endpoint exists) assert response.status_code != 404 @pytest.mark.asyncio async def test_llm_embeddings_endpoint_exists(self, client: AsyncClient): """Test that the LLM embeddings endpoint exists and is accessible.""" response = await client.post( "/api/v1/llm/embeddings", json={ "model": "test-embedding-model", "input": "Test text" }, headers={"Authorization": "Bearer test-api-key"} ) # Should not return 404 (endpoint exists) assert response.status_code != 404 @pytest.mark.asyncio async def test_llm_provider_status_endpoint_exists(self, client: AsyncClient): """Test that the provider status endpoint exists and is accessible.""" response = await client.get( "/api/v1/llm/providers/status", headers={"Authorization": "Bearer test-api-key"} ) # Should not return 404 (endpoint exists) assert response.status_code != 404 @pytest.mark.asyncio async def test_chat_with_mocked_service(self, client: AsyncClient): """Test chat completion with mocked LLM service.""" from app.services.llm.models import ChatResponse, ChatChoice, ChatMessage, TokenUsage # Mock successful response mock_response = ChatResponse( id="test-123", object="chat.completion", created=1234567890, model="privatemode-llama-3-70b", provider="PrivateMode.ai", choices=[ ChatChoice( index=0, message=ChatMessage( role="assistant", content="Hello! How can I help you?" ), finish_reason="stop" ) ], usage=TokenUsage( prompt_tokens=10, completion_tokens=8, total_tokens=18 ), security_check=True, risk_score=0.1, detected_patterns=[], latency_ms=250.5 ) with patch("app.services.llm.service.llm_service.create_chat_completion") as mock_chat: mock_chat.return_value = mock_response response = await client.post( "/api/v1/llm/chat/completions", json={ "model": "privatemode-llama-3-70b", "messages": [ {"role": "user", "content": "Hello"} ] }, headers={"Authorization": "Bearer test-api-key"} ) assert response.status_code == 200 data = response.json() # Verify basic response structure assert "id" in data assert "choices" in data assert len(data["choices"]) == 1 assert data["choices"][0]["message"]["content"] == "Hello! How can I help you?" @pytest.mark.asyncio async def test_embedding_with_mocked_service(self, client: AsyncClient): """Test embedding generation with mocked LLM service.""" from app.services.llm.models import EmbeddingResponse, EmbeddingData, TokenUsage # Create a simple embedding vector embedding_vector = [0.1, 0.2, 0.3] * 341 + [0.1, 0.2, 0.3] # 1024 dimensions mock_response = EmbeddingResponse( object="list", data=[ EmbeddingData( object="embedding", index=0, embedding=embedding_vector ) ], model="privatemode-embeddings", provider="PrivateMode.ai", usage=TokenUsage( prompt_tokens=5, completion_tokens=0, total_tokens=5 ), security_check=True, risk_score=0.0, latency_ms=150.0 ) with patch("app.services.llm.service.llm_service.create_embedding") as mock_embedding: mock_embedding.return_value = mock_response response = await client.post( "/api/v1/llm/embeddings", json={ "model": "privatemode-embeddings", "input": "Test text for embedding" }, headers={"Authorization": "Bearer test-api-key"} ) assert response.status_code == 200 data = response.json() # Verify basic response structure assert "data" in data assert len(data["data"]) == 1 assert len(data["data"][0]["embedding"]) == 1024 @pytest.mark.asyncio async def test_models_with_mocked_service(self, client: AsyncClient): """Test models listing with mocked LLM service.""" from app.services.llm.models import ModelInfo mock_models = [ ModelInfo( id="privatemode-llama-3-70b", object="model", created=1234567890, owned_by="PrivateMode.ai", provider="PrivateMode.ai", capabilities=["tee", "chat"], context_window=32768, supports_streaming=True ), ModelInfo( id="privatemode-embeddings", object="model", created=1234567890, owned_by="PrivateMode.ai", provider="PrivateMode.ai", capabilities=["tee", "embeddings"], context_window=512, supports_streaming=False ) ] with patch("app.services.llm.service.llm_service.get_models") as mock_models_call: mock_models_call.return_value = mock_models response = await client.get( "/api/v1/llm/models", headers={"Authorization": "Bearer test-api-key"} ) assert response.status_code == 200 data = response.json() # Verify basic response structure assert "data" in data assert len(data["data"]) == 2 assert data["data"][0]["id"] == "privatemode-llama-3-70b" @pytest.mark.asyncio async def test_provider_status_with_mocked_service(self, client: AsyncClient): """Test provider status with mocked LLM service.""" mock_status = { "privatemode": { "provider": "PrivateMode.ai", "status": "healthy", "latency_ms": 250.5, "success_rate": 0.98, "last_check": "2025-01-01T12:00:00Z", "models_available": ["privatemode-llama-3-70b", "privatemode-embeddings"] } } with patch("app.services.llm.service.llm_service.get_provider_status") as mock_provider: mock_provider.return_value = mock_status response = await client.get( "/api/v1/llm/providers/status", headers={"Authorization": "Bearer test-api-key"} ) assert response.status_code == 200 data = response.json() # Verify basic response structure assert "data" in data assert "privatemode" in data["data"] assert data["data"]["privatemode"]["status"] == "healthy" @pytest.mark.asyncio async def test_unauthorized_access(self, client: AsyncClient): """Test that unauthorized requests are properly rejected.""" # Test without authorization header response = await client.get("/api/v1/llm/models") assert response.status_code == 401 response = await client.post( "/api/v1/llm/chat/completions", json={ "model": "test-model", "messages": [{"role": "user", "content": "Hello"}] } ) assert response.status_code == 401 response = await client.post( "/api/v1/llm/embeddings", json={ "model": "test-model", "input": "Hello" } ) assert response.status_code == 401 @pytest.mark.asyncio async def test_invalid_request_data(self, client: AsyncClient): """Test that invalid request data is properly handled.""" # Test invalid JSON structure response = await client.post( "/api/v1/llm/chat/completions", json={ # Missing required fields "model": "test-model" # messages field is missing }, headers={"Authorization": "Bearer test-api-key"} ) assert response.status_code == 422 # Unprocessable Entity # Test empty messages response = await client.post( "/api/v1/llm/chat/completions", json={ "model": "test-model", "messages": [] # Empty messages }, headers={"Authorization": "Bearer test-api-key"} ) assert response.status_code == 422 # Unprocessable Entity