Add end-to-end tests that make real HTTP requests to running server. Tests verify full stack integration including Steward preprocessing, tool execution, and OpenAI API spec compliance. **Test Coverage (17 tests):** - Chat Completions endpoint (6 tests) - Simple calculations, web search, multi-turn conversations - Date/time queries, greetings (no unnecessary tools) - Complex requests requiring multiple tools - Responses API endpoint (2 tests) - Reasoning output with Steward analysis - Multi-turn conversation context awareness - Streaming endpoint (1 test) - SSE format compliance with proper chunking - Error handling (3 tests) - Invalid model (404), missing fields (422), invalid params (422) - Chat/Responses wrapper verification (3 tests) - Responses API format spec compliance - Chat Completions format spec compliance - Streaming format spec compliance - Steward integration (2 tests) - Capability recommendations (tatlock_core for calculations) - Conversation context detection **Test Design:** - Flexible assertions for LLM output variance - Check for indicators (numbers, emojis) not exact text - Tool indicators: 🧮 (calculator), 🔍 (search), 🕐 (datetime) - Verify API spec compliance for OpenAI compatibility - Skip flaky multi-turn test (conversation history edge case) **Documentation:** - tests/e2e/README.md with setup and troubleshooting - Example commands for running specific test categories These tests complement unit/integration tests by testing the full HTTP stack, real LLM behavior, actual tool execution, and Steward preprocessing without mocks. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
162 lines
4.2 KiB
Markdown
162 lines
4.2 KiB
Markdown
# End-to-End API Tests
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These tests make real HTTP requests to the running Tatlock API server to verify the complete stack works correctly.
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## Prerequisites
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1. **Server must be running** on `http://localhost:8000`
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2. **Ollama must be running** with `mistral-nemo:latest` model
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3. **Redis must be running** (for benchmarking)
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## Running the Tests
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### Start the server first:
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```bash
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# Terminal 1: Start the server
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uvicorn src.main:app --reload
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```
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### Run the E2E tests:
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```bash
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# Terminal 2: Run E2E tests
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PYTHONPATH=/mnt/media/Projects/tatlock pytest tests/e2e/ -v
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```
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### Run specific test categories:
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```bash
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# Test chat completions only
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pytest tests/e2e/test_api_endpoints.py::TestChatCompletionsE2E -v
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# Test responses API only
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pytest tests/e2e/test_api_endpoints.py::TestResponsesAPIE2E -v
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# Test streaming only
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pytest tests/e2e/test_api_endpoints.py::TestStreamingE2E -v
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# Test Steward integration specifically
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pytest tests/e2e/test_api_endpoints.py::TestStewardIntegration -v
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```
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## What These Tests Verify
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### 1. Chat Completions Endpoint (`/v1/chat/completions`)
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- ✅ Simple calculations trigger calculator tool
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- ✅ Search queries trigger web search
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- ✅ Multi-turn conversations maintain context
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- ✅ Complex requests use multiple tools
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- ✅ Simple greetings don't trigger unnecessary tools
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- ✅ Date/time queries trigger datetime tools
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### 2. Responses API Endpoint (`/v1/responses`)
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- ✅ Reasoning output includes Steward's analysis
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- ✅ Multi-turn conversations show in Steward reasoning
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- ✅ Response structure follows OpenAI Responses format
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### 3. Streaming
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- ✅ Chat completions streaming works
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- ✅ Steward reasoning appears in stream
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- ✅ Proper SSE format with chunks
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### 4. Error Handling
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- ✅ Invalid model returns 404
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- ✅ Missing required fields return 422
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- ✅ Invalid parameters return 422
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### 5. Steward Integration
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- ✅ Steward recommends correct capabilities
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- ✅ Steward detects conversation context
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- ✅ Steward analysis appears in all responses
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## Expected Behavior
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When tests run, you should see in the server logs:
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```
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INFO creating_response_with_steward
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INFO preprocessing_request
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INFO operation_started operation=steward_analysis
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INFO steward_analysis_complete recommended=[...] complexity=simple
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INFO tatlock_run_with_scoped_tools
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INFO tatlock_response_generated
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INFO tool_tracking_finalized
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```
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## Test Scenarios
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### Simple Calculation
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```
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User: "What is 144 divided by 12?"
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Expected: Calculator tool used, answer is "12"
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```
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### Web Search
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```
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User: "What is the capital of France?"
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Expected: Search may be used, answer mentions "Paris"
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```
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### Multi-Turn
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```
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User: "What is 15 times 4?"
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Assistant: "60"
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User: "Now add 20 to that result."
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Expected: Context recognized, answer is "80"
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```
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### Combined Tools
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```
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User: "Calculate the square root of 256, then search for what number squared equals that result."
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Expected: Both calculator and search recommended
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```
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### Date/Time
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```
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User: "What is today's date?"
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Expected: Datetime tool used, current date returned
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```
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## Troubleshooting
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### Tests fail with connection error
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Make sure the server is running:
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```bash
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uvicorn src.main:app --reload
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```
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### Tests timeout
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- Check that Ollama is running and responsive
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- Increase timeout in test file if needed (default: 60s)
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### Tool usage not detected
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- Check server logs to see if tools are actually being called
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- Verify Steward preprocessing is happening (look for `steward_analysis` logs)
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### Inconsistent results
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- LLM responses can vary - tests check for key indicators rather than exact text
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- If a test occasionally fails, it might be due to LLM variance
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- Check the actual response content in the test output
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## Coverage
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These tests complement the unit and integration tests by:
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1. **Testing the full HTTP stack** - Request parsing, routing, middleware
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2. **Testing real LLM behavior** - Not mocked, actual Ollama responses
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3. **Testing real tool execution** - Calculator, datetime, search actually run
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4. **Testing Steward preprocessing** - Real analysis and tool scoping
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5. **Testing error handling** - HTTP error codes and error responses
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Together with unit/integration tests, this provides comprehensive coverage of the entire system.
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