SamoilenkoVadym 86da0b2330 Implement OpenAI Responses API service with RAG enforcement ... Features: - OpenAIService class for Responses API integration - file_search tool integration with Vector Store - Strict RAG-only enforcement via system instructions - Citation validation to prevent hallucinations - Warning logs for responses without proper citations - Support for multi-turn conversations via previous_response_id - Async streaming support for real-time responses - Comprehensive error handling and logging Test Coverage: - Service initialization and configuration - System instructions validation - Citation detection (valid, missing, no-info responses) - Search results formatting - RAG usage validation with hallucination detection - Response generation with mocked API calls - Multi-turn conversation support - Error handling - Integration test stubs (skipped, require API key) Key RAG Safety Features: - Low temperature (0.3) for factual responses - Citation keyword detection - Automatic disclaimer for uncited responses - Separate handling of valid "no info" responses - Warning logs for potential hallucinations Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>		2026-01-27 14:26:43 +00:00
..
__init__.py	Add comprehensive backend test suite and Phase 1 foundation	2026-01-27 14:24:59 +00:00
conftest.py	Add comprehensive backend test suite and Phase 1 foundation	2026-01-27 14:24:59 +00:00
test_api.py	Add comprehensive backend test suite and Phase 1 foundation	2026-01-27 14:24:59 +00:00
test_config.py	Add comprehensive backend test suite and Phase 1 foundation	2026-01-27 14:24:59 +00:00
test_database.py	Add comprehensive backend test suite and Phase 1 foundation	2026-01-27 14:24:59 +00:00
test_models.py	Add comprehensive backend test suite and Phase 1 foundation	2026-01-27 14:24:59 +00:00
test_openai_service.py	Implement OpenAI Responses API service with RAG enforcement	2026-01-27 14:26:43 +00:00