2 Commits

Author	SHA1	Message	Date
Anto01	eabcc4c3ca	refactor: Major reorganization of optimization_engine module structure ... BREAKING CHANGE: Module paths have been reorganized for better maintainability. Backwards compatibility aliases with deprecation warnings are provided. New Structure: - core/ - Optimization runners (runner, intelligent_optimizer, etc.) - processors/ - Data processing - surrogates/ - Neural network surrogates - nx/ - NX/Nastran integration (solver, updater, session_manager) - study/ - Study management (creator, wizard, state, reset) - reporting/ - Reports and analysis (visualizer, report_generator) - config/ - Configuration management (manager, builder) - utils/ - Utilities (logger, auto_doc, etc.) - future/ - Research/experimental code Migration: - ~200 import changes across 125 files - All __init__.py files use lazy loading to avoid circular imports - Backwards compatibility layer supports old import paths with warnings - All existing functionality preserved To migrate existing code: OLD: from optimization_engine.nx_solver import NXSolver NEW: from optimization_engine.nx.solver import NXSolver OLD: from optimization_engine.runner import OptimizationRunner NEW: from optimization_engine.core.runner import OptimizationRunner 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-29 12:30:59 -05:00
Anto01	6199fd1e53	test: Add API verification test with hardcoded key for periodic checks ... Created minimal API verification test to confirm Anthropic API integration works without consuming significant credits. Test uses ~100-200 tokens only. Features: - Hardcoded API key for easy periodic verification - Falls back to environment variable if set - Minimal request to save credits ("Extract displacement from OP2 file") - Clear output showing API response and token usage - Recommendations for development workflow Test Results: ✅ API authentication successful ✅ LLMWorkflowAnalyzer can parse natural language ✅ Workflow generation working correctly ✅ Engineering features detected: 1 (displacement extraction) ✅ Credits used: ~100-200 tokens (~$0.001) Development Strategy Confirmed: - Use Claude Code for all daily development (zero credits) - Run this test periodically as health check - Use API mode only for production testing when needed - Hybrid approach (Claude Code → JSON → Runner) is primary workflow This verifies Phase 3.2 integration can work with API when needed, while maintaining zero-credit development workflow with Claude Code. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-11-17 09:27:52 -05:00