Anto01
a24e3f750c
Core plugin architecture for LLM-driven optimization: New Features: - Hook system with 6 lifecycle points (pre_mesh, post_mesh, pre_solve, post_solve, post_extraction, custom_objectives) - HookManager for centralized registration and execution - Code validation with AST-based safety checks - Feature registry (JSON) for LLM capability discovery - Example plugin: log_trial_start - 23 comprehensive tests (all passing) Integration: - OptimizationRunner now loads plugins automatically - Hooks execute at 5 points in optimization loop - Custom objectives can override total_objective via hooks Safety: - Module whitelist (numpy, scipy, pandas, optuna, pyNastran) - Dangerous operation blocking (eval, exec, os.system, subprocess) - Optional file operation permission flag Files Added: - optimization_engine/plugins/__init__.py - optimization_engine/plugins/hooks.py - optimization_engine/plugins/hook_manager.py - optimization_engine/plugins/validators.py - optimization_engine/feature_registry.json - optimization_engine/plugins/pre_solve/log_trial_start.py - tests/test_plugin_system.py (23 tests) Files Modified: - optimization_engine/runner.py (added hook integration) Ready for Phase 2: LLM interface layer 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2 lines
17 B
Python
2 lines
17 B
Python
# pre_mesh hooks
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