studies/bracket_displacement_maximizing/model/Bracket_fem1_i.prt

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NameType
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**PARASOLID !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~0123456789**************************
**PART1;
MC=^_;
MC_MODEL=genuineintel family 6 model 7 stepping 1, intel(r) core(tm) i7-14700hx;
MC_ID=^_;
OS=windows nt (x64);
OS_RELEASE=6.3 windows 11 pro (build 26100) ;
FRU=mdc_ugii_v7.0_djl_can_vrh;
APPL=unigraphics;
SITE=unknown;
USER=^_;
FORMAT=binary;
GUISE=transmit;
KEY=part_file;
FILE=^_;
DATE=21-nov-2025;
**PART2;
SCH=SCH_3700213_36001;
USFLD_SIZE=0;
**PART3;
**END_OF_HEADER*****************************************************************
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	<00>Version 9.4 JT  DM 10.7.0.1                                                 

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-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
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<0A>!p@l<><6C>$e<>k<EFBFBD><6B><EFBFBD><EFBFBD><EFBFBD>~+<2B><>z<EFBFBD><7A><EFBFBD><EFBFBD><EFBFBD>wZ<77><5A><EFBFBD><EFBFBD>JEBracket_fem1_i.prtBracket.prtOXC:\Users\antoi\Documents\Atomaste\Atomizer\studies\bracket_displacement_maximizing\modelRM	<00>Version 9.4 JT  DM 10.7.0.1
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
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-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
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-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
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-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
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UGS::OM::Set<65><74><EFBFBD><EFBFBD>ot+p<01><02>UGS::Solid::Topol<0B><><EFBFBD><15>@"4UGS::RM_displayable_entity<74>,<2C><><EFBFBD>R<10>_2ئUGS::RM_entity<74>Ȁ<EFBFBD>0_s<5F><03><><EFBFBD>UGS::Solid::SubBodyG<79><47><11><><EFBFBD>qx<>UGS::RM_record_area<65><61><EFBFBD><EFBFBD><08>p)-Y<>UGS::Facet::JT::Body<64>耒<EFBFBD>Dol<>ٜLUGS::FACET_body<64>m`<60><><EFBFBD>><3E><>d`<60><>MUGS::SO<53>Ȁ<EFBFBD><C880>Q<EFBFBD><51><EFBFBD><EFBFBD><EFBFBD><EFBFBD>UGS::SKELETON_grid<69>Ѐ<EFBFBD><D080>lom<>9UGS::SKELETON_base<73>耍Ոb<D588>]<5D>	UGS::ES_base_parameter<65><72><EFBFBD><EFBFBD><EFBFBD><EFBFBD>~E]<5D>NUGS::ES_base_reference_set<65>ɀ<EFBFBD>f<EFBFBD><66>a<1A><>OUGS::BaseTypes::ExtendedObjecte<74><65><07><><]<5D>P$UGS::Gateway::TaggedObjectRootGroupe<70><65><EFBFBD><EFBFBD>D<EFBFBD>]<5D>Q UGS::Gateway::TaggedObjectGroupe<70><65><EFBFBD>8<EFBFBD>8<EFBFBD><38>N:5UGS::OM_string_object_map<61><14><>%\C<><15><><EFBFBD>5UGS::OM_index_for_string_map<61><08><>V<EFBFBD><56><EFBFBD>ʊ<EFBFBD>5UGS::OM_index_for_mape<70><65><EFBFBD><EFBFBD>q*<2A>#3{RUGS::OM::TagSet<65>,<2C><>73<37>N'<27><>5UGS::OM_index_for_int_map<61><70><EFBFBD><EFBFBD>h*<2A><W<>`<60><UGS::Display::FacetingOptions<6E>耉W;Nf-<2D>UGS::VIEW_perspective<76>ި<EFBFBD><DEA8>s<EFBFBD><73>2k<32><6B><EFBFBD>RUGS::OM::HashSet<65><74><EFBFBD><EFBFBD>
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m_objectStateCollectionx
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								m_cachedBodyBoxC<78><43>m_attributeSource<10><>m_inhertMaterialFlag<12><>first_record_area<65>π<EFBFBD>m_checksum<75><6D><EFBFBD><EFBFBD>m_nextInstance<63>m_savedAdvancedDisplayFacets<74><73><EFBFBD><EFBFBD>m_saveDisplayFacets<74><73>m_optTargetMatrix<69><78>m_displayMarker<65><72><EFBFBD><EFBFBD>m_userAttributeList<73><74>!z
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
 								+
 									$!N%bP
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								<02><>*1S?<00>Ah1T4<00>5<00>5<00>5z6
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-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								Ilk<00><00><00><00><00><00>*,:58<00><00><00><00>
%'"<00><00><00><00><00><00><00><00><00><00><00>
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								<00>)<00><00><00><00><00><00>	<00><00><00><00><00>7469;<+31/-20.<00><00><00><00><00><00><00><00>!#&( $<00><00><00><00><00><00><00><00><00><00><00><00><00><00><00><00>QR\gh<00><00><00>Vaf<00><00><00>LMNOPNX 2412.7002antoi'NX 2412.3001 - External User FunctionA}Part renamed from "C:\Users\antoi\Documents\Atomaste\Atomizer\studies\bracket_stress_minimization\model\Bracket_fem1_i.prt"YPart renamed from "C:\Users\antoi\Documents\Atomaste\Atomizer\tests\Bracket_fem1_i.prt"<00>i<18>(<28><1C>
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-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								}.v/<14><><EFBFBD><EFBFBD><7F><EFBFBD>	G<14><><EFBFBD><EFBFBD><7F><EFBFBD>	G<00><><14><><08><EFBFBD><7F><EFBFBD><EFBFBD><EFBFBD>v<00><>v<00><>}<7D><EFBFBD><7F><EFBFBD><EFBFBD><EFBFBD><7F><EFBFBD><EFBFBD><00>A<EFBFBD>"
.4568<=>AG<41><47><EFBFBD><EFBFBD><EFBFBD>̀ۂY<DB82>Z<EFBFBD>[<5B><><EFBFBD><EFBFBD><EFBFBD>E<EFBFBD>F<EFBFBD>a<EFBFBD>b<EFBFBD>g<EFBFBD>i<EFBFBD>Ŋ)<29>.
UG_APP_SFEM<00>B<>`
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
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-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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 								<01>E<00><>4l<00>
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								<01>E<00><>NX_MaterialMissingAssignmentsTRUEMaterialsNX_MaterialMultipleAssignedFALSE<1F><00>dd<00>feBracket_fem1_i.prt<02>@jb<6A><62>Oə<4F>/<2F>7a<37><61><EFBFBD>j/<2F>z<EFBFBD>G<EFBFBD>{Oə<4F>/<2F>7a<37><61><EFBFBD>j/<2F><17>J'<27><><0B><><EFBFBD><EFBFBD><00><03><01>E<00><><EFBFBD>A<00>sd<00>feALL<02> <12><>
A<00>sd<00>feCURVES<02> <01><1F><>
A<00>sd<00>feDATUMS<02> <01><><00><><EFBFBD>
A<00>sd<00>feSHEETS<02> <12><1F>
A<00>sd<00>fe
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								SKETCHES<02> <12><><00><>
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<01><>O<EFBFBD><4F><EFBFBD>P66<01><>O윝PSS<01><>O<EFBFBD>O<>RRO<52><4F><EFBFBD>
 								<01><>O윝O<EC9C9D>O<>UU	<01><>O<EFBFBD>O<><01><>O<EFBFBD>O<>O<><01><><01><>P<01><>O<EFBFBD>O<>O<>XX<01><>O<EFBFBD>O<>O<>[[<01><>O<EFBFBD>O<>O<><01><><01>@=<3D><>}S6[B^<5E><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Yv<59><76>M18H_di<64><69><EFBFBD><EFBFBD><EFBFBD><EFBFBD>uR<75><52>5:GzV<7A><56>Qno);#!P{<7B><>Jp(
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+									>\t.<02><00>g<00>@aD<61> .<01>A@}<02>4<01>E<00><><EFBFBD><02>=5<05> <01>A<00><><EFBFBD>PyPy0v<30>Py<00><>	<1F>3<00>p<00>@<05><><EFBFBD>@6"G8
A802<>O<EFBFBD>{0<08><><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>\2<>d/<2F>UM<>Ɓ0
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-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								 <20>p,=A8<02>A8<00>=8<00>A8<8B<00>d<00>feTop<02>
 								<0f<30>/<2F><>7	%<25>{0<>wg<77><67>,_<><5F>wg<77><67>,_0<>@Y0<59>w<EFBFBD><77><EFBFBD><EFBFBD><EFBFBD>)H<02><00>d<00>feTrimetric<02>
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-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								=q0<><30>C<EFBFBD><43><EFBFBD><04>g<EFBFBD>g<EFBFBD>ʇ<EFBFBD>0dm<64>ZB'0<><30>R<1C><>gW<67>V<EFBFBD>G 0d#½+<2B>DPnP4<01><01><>A<00>d<00>feAllComponents<02><><11><><EFBFBD>"<22><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>A<00>d<00>feLoadedChangedComponents<02><>A<00>d<00>feUnloadedChangedComponents<02><><02><00>d<00>feCurrentComponents<02><><11><><EFBFBD>"<22><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><11><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>#<23><02><00><><01>@b<00>c<00>l<03><>X<EFBFBD><58>Q<EFBFBD><51>Q<01><><EFBFBD><00>$<02>_/<2F>z<EFBFBD>G<EFBFBD>{O陚LPYff1j1j1j1j1j1j1j1j1j1j!	eMNOP/<2F>z<EFBFBD>G<EFBFBD>{`0vy<76><79><EFBFBD><EFBFBD><EFBFBD>aQP66P66P66P33P33P33P33P33P33P	<09><>P	<09><>P	<09><>P33P33P33-GLLVR<>1<EFBFBD>S]]<00><01><00>\
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
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-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								!DRAWING><00>A<00>d<00>fe!MODEL>Z<><5A>@0<>@<00><>@0<>@<00>\<00>\=>Z<><5A>@0<>@<00><>@0<>@<00>]<00>]<00><05>\<5C><06>]0 Los<6F><73>/<2F><><EFBFBD><EFBFBD><EFBFBD>G<EFBFBD>'0<><30><EFBFBD><EFBFBD>G<EFBFBD>/<2F>s<06><><EFBFBD><EFBFBD><EFBFBD>0s<06><><EFBFBD><EFBFBD><EFBFBD>0<><30>2F7<46><03><><EFBFBD>2F7<46><03><>@0<>@<00><>@0<>@0<><30><EFBFBD>y<EFBFBD><79><18><>0<>G<EFBFBD><47><EFBFBD>Ɯ<EFBFBD><C69C>/<2F>McЄ<63>5<EFBFBD><35>/<2F>McЄ<63>5<EFBFBD>0/<2F>McЄ<63>5<00><>f<EFBFBD><66>?6<><36>U<EFBFBD>P<><7F><EFBFBD>d#½+<2B>B<EFBFBD><42>*<2A><>ο<EFBFBD>0~<06><>./Ȥ/D4<44>ܯ<EFBFBD><DCAF><EFBFBD>(<28>XN<58><4E><EFBFBD><1D><>.0<0E><11>70
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 'A6SA6.<04><><EFBFBD><EFBFBD>y<05><>U<EFBFBD><55>v<05><>U<EFBFBD><55>v<02><><EFBFBD><EFBFBD>d<><64><02><><EFBFBD><EFBFBD>v<02>6H<00>A5<06> <01>A<00><><EFBFBD>PyPy0v<30>Py<00><>	A5<07> <01>A<00><><EFBFBD>PyPy0v<30>Py<00><>	A5<08> <01>A<00>؁/ə<><C999>/ə<><C999>0v<30>Py<00><>	A5<0C> <01>A<00><><EFBFBD>PyPy0v<30>Py<00><>	%5<0F> <01>A-<2D>P$P$PD-	<01>]##NN>N<01>f##N<01>b##N<01>g##N<01>`##N<01><1B>##N<01>d##N<01>c##N<01>e##N<01>a##N<01>k##N<01>h##N<01><1B>##N<01>v##N<01>u##N<01>n##N<01>i##N<01>l##N<01>y##N<01>j##N<01>o##N<01><1B>##N<01>w##N<01><1B>##N<01>q##N<01>p##N<01>t##N<01>r##N<01>m##N<01><1B>##N<01>s##N<01><1B>##NNN=Ny<18>R<EFBFBD><52>9<EFBFBD><39>_7u<37><75><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ROM
 								%<00><> ix64/Windows NTBracket_fem1_i.prtG&A<00>UGS::OM::MetaUGS::CMUGS::TRANSFORMUGS::CM_referenceUGS::CM_FEATURES2
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								UGS::BREF
UGS::CM_STUB(UGS::Modl::NXParasolidVersioningServiceUGS::OM::Basic
UGS::CM_listUGS::PROM_FEATUREUGS::CM_BREF_DATA#UGS::ModlUtils::CachedWaveLinkDataUGS::RM0UGS::FEATURE_PARMS%UGS::System::NativeVersioningService
UGS::EXTRBDYUGS::COPY_BODY_FEATURE
 								UGS::PROMUGS::OM::RootObject8<17>K<EFBFBD><4B><EFBFBD><1B>y
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 UGS::CM_NODE<44>,&tV-<2D><03>eUGS::CM_matrixe?<3F>\<5C><><EFBFBD><0E>UGS::OM::TaggedObject<05>6<EFBFBD>(<0B><>UGS::OM::StorableObjectMA<4D>X]<5D>UGS::OM::MethodicObject<63><74><00><><EFBFBD>b]<5D>UGS::OM::VersionedObject<63><74>=Q<>VQz8UGS::OM::SubObject<63><74>҉<>]<5D>UGS::CM_object<63>,	<09><><EFBFBD><EFBFBD><0C><>UGS::CM_referencee/@{u<>d=UGS::RM_entity<74><79>0_s<5F><03><><EFBFBD>UGS::OM::OptAttValue<75>!<1B>)E<><45><1A>WUGS::FEATURE_PARMS<4D><53>i*<2A>V<EFBFBD><]%UGS::System::NativeVersioningServicee5u<10>ȗ<EFBFBD>
UGS::OM::Set<65><74>ot+p<01><02>UGS::EXTRBDY_feature_parmse$<24><>f<EFBFBD>(<0B><>UGS::COPY_BODY_feature_parmse%[<5B>ƣpbUGS::PROM_method_parmse <20>}<7D>B]<5D>
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								UGS::CM_GENERIC_NODE<44><45><18>M <20><0C><>m_legacyInactiveModules<65>m_sourceObjectStates<65><12>m_modifiesParasolidData<74>X
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 								( !"#$%&'NX 2412.7002antoi'NX 2412.3001 - External User FunctionA<00>i<18>(<28>B@)<13>i<18><>ۇ<15>)<13>i<18><><EFBFBD><EFBFBD><EFBFBD>)<13>iǔ<><C794>|w<>)<13>iG<7F>1<EFBFBD> <20>)<13>ib<7F><62><EFBFBD>*<2A>)<00>i<1A><><EFBFBD><12>)<13>i<1A><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>)	<13>i<1A>L<EFBFBD>G<EFBFBD><02>)
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								<13>i<1A>R<EFBFBD>P_<50>)<13>i<1A>W<EFBFBD><57><EFBFBD><12>)<13>i<1A>\<5C><>o
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								)
<13>i<1A>a<EFBFBD>m<EFBFBD>8<EFBFBD>)<13>i<1A>g<EFBFBD><67>Z6)<13>i<1A>l<EFBFBD>ƣ<EFBFBD><C6A3>)<13>i<1A>q<EFBFBD>MY)<13>i<1A>v<EFBFBD><76><EFBFBD>O)<13>i<1A>|<7C><>Ʉ\)<13>i<1A><><EFBFBD><EFBFBD>幂)<13>i<1A><><EFBFBD><EFBFBD>4<EFBFBD>.)<13>i<1A><><EFBFBD><EFBFBD><EFBFBD>̼)<13>i<1A><><EFBFBD><EFBFBD>Š<EFBFBD>)<13>i<1A><><EFBFBD>֪vt)<13>i<1A><><EFBFBD><EFBFBD>]ν)<13>i<1A><><EFBFBD>Ӓ<EFBFBD>6)<13>i<1A><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>)<13>i<1A><><EFBFBD><1D>1<EFBFBD>)<13>i<1A><><EFBFBD><EFBFBD>NӃ)<00>i }2<>/<2F>V)<13>i <20><><EFBFBD>i<12>V)*A<>BK<42><4B>a<EFBFBD>ccb<><62><EFBFBD><EFBFBD><EFBFBD>
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								<00><02><><02>H_
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 								<EFBFBD>	<09>ē<EFBFBD>A?BB<07>	c<><63>+?AA
 								<EFBFBD>	<09><><EFBFBD><EFBFBD><1D><00><02><1E><>/<2F>z<EFBFBD>G<EFBFBD>{<7B><>DE<44> PROMOTION
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 								NameType
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 								Solid BodyBody	Bracketantoi16-Nov-2025 21:21:35!RMBracket.prt R00001b5d00000000Extrude(2)fC:\Users\antoi\Documents\Atomaste\Atomizer\studies\bracket_displacement_maximizing\model\Bracket.prt
 								Rules
Parent_Part
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 								Bracket_fem1_iWAVE LinkPosition DependentBracket_fem1_i16-Nov-2025 21:21:31Arrangement 1Bracket::Solid Body16-Nov-2025 21:21:35<02>><00><01><><00>?<3F><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>	<09><1C>uB<>
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								<00><00>l<03><>X<EFBFBD><58>Q<EFBFBD><51>Q<00><00>@<01><1F><><00>r<EFBFBD><72><02><00><>/<2F>z<EFBFBD>G<EFBFBD>{<7B><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>DELETE<07><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><00><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><00>l<00><>Q<00><00><><EFBFBD><EFBFBD><1F><><1D><>0ޖ<30><DE96>
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 								%<00><> ix64/Windows NTBracket_fem1_i.prt<00>UGS::OM::Meta	UGS::ESS*UGS::OM::BasicUGS::ExpKf::ExpGroupsUGS::OM::RootObject8	<09>K<EFBFBD><4B><EFBFBD><1B>yUGS::ESS_part<72><74>K<>r?6<><03>UGS::OM::SaveAuditTrail<69><6C>
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UGS::OM_mapsUGS::RM0UGS::RM_complexUGS::Attr::LWStringCAttributeUGS::XFORM6UGS::Assy::Core::Order
UGS::ES_baseUGS::Attr::LWStringTAttributeUGS::Attr::StringTAttributeUGS::Attr::TAttributeUGS::Attr::Attribute&UGS::Assy::Core::InterPartLinkContextUGS::OM::RootObject8!<21>K<EFBFBD><4B><EFBFBD><1B>yUGS::OCC_part<72><74>$jU#<23>ju<6A>IUGS::OM::SaveAuditTrail<69><6C>%`<60><>j<><6A>AUGS::OM::SaveAuditTrailEntry<72><79>%<25>s_<73><5F><EFBFBD>P<EFBFBD>UGS::OCC::BasicInstancee&	̟]<5D>UGS::OCC_part_occurrence<63><65>(<28><>y<>UGS::OCC_promotion<6F>3<EFBFBD>'<27>R+g<>8UGS::OM::OldHashSet<65><74>))1<0C><><EFBFBD>!<21>UGS::CONFG_manager<65><72>!<21><>R<EFBFBD><52><EFBFBD><EFBFBD><EFBFBD>UGS::Assy::Core::OrderManager<65><72>!<21>F<EFBFBD>\<5C>I-UGS::Assy::Core::ChronologicalComponentOrder<65><72>*<2A> (C]<5D>,UGS::Assy::Core::AlphanumericComponentOrder<65><72>*:@j]<5D>*UGS::Assy::Core::AlphabeticComponentOrder<65><72>*<2A><18>]<5D>UGS::OM::HashSet<65><74>)
<0A>ւ<EFBFBD><D682>ذUGS::CONFG_position_cache<68><65>!a<><1F><>N<>UGS::CONFG_configuration<6F><6E>$9?<3F>{ӹ<>!UGS::CONFG_instance_position_set<65>'+<2B>`2<>]<5D>UGS::OM_tag_object_map<61>L,X9<58>U<15><><EFBFBD>UGS::CONFG_component_data<74><13>.<1A><><1F>$b<>UGS::OM_tag_int_map<61>6,<1A>h<EFBFBD><68>㜟UGS::OCC_part_reference<63>7<EFBFBD>/=<3D><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>0UGS::OM::OptPointerValue<75>R0+<2B><>{<03>e	 UGS::RM_one_complex_record_area<65><61>1<EFBFBD>9C<39><43>WGUGS::OM::OptUtf8StringValue<75>H0<48>Sb<15>ʤ<EFBFBD>
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								UGS::BBOXVL<56>S2<53>v(UGS::Attr::LWStringCAttribute<74>'36<33><36><03>ʤ<EFBFBD>
 								UGS::MASSPR<50><52>2y<><79>DUGS::XFORM_assy_context<78> 7<><37><10>(B-<2D>UGS::OCC_prom_eid_map<61>7x%<25><><EFBFBD><1C>5UGS::OCC_entity_occurrence<63><65>8<EFBFBD><38><EFBFBD>ďT<C48F>=
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
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-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								**PARASOLID !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~0123456789**************************
 								**PART1;
 								MC=^_;
 								MC_MODEL=genuineintel family 6 model 7 stepping 1, intel(r) core(tm) i7-14700hx;
 								MC_ID=^_;
 								OS=windows nt (x64);
 								OS_RELEASE=6.3 windows 11 pro (build 26100) ;
 								FRU=mdc_ugii_v7.0_djl_can_vrh;
 								APPL=unigraphics;
 								SITE=unknown;
 								USER=^_;
 								FORMAT=binary;
 								GUISE=transmit;
 								KEY=part_file;
 								FILE=^_;
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								DATE=21-nov-2025;
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								**PART2;
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								SCH=SCH_3700213_36001;
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
+								USFLD_SIZE=0;
 								**PART3;
 								**END_OF_HEADER*****************************************************************
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
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-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
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 								<folderContents>
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
+								<folderProperties location="part/attrs" unmappedLocation="part/attrs"><createTime>2025-11-21T15:09:21</createTime><modifyTime>2025-11-21T15:09:21</modifyTime></folderProperties>
 								<folderProperties location="part/arrangements" unmappedLocation="part/arrangements"><createTime>2025-11-21T15:09:21</createTime><modifyTime>2025-11-21T15:09:21</modifyTime></folderProperties>
-												feat: Add substudy system with live history tracking and workflow fixes

Major Features:
- Hierarchical substudy system (like NX Solutions/Subcases)
  * Shared model files across all substudies
  * Independent configuration per substudy
  * Continuation support from previous substudies
  * Real-time incremental history updates
- Live history tracking with optimization_history_incremental.json
- Complete bracket_displacement_maximizing study with substudy examples

Core Fixes:
- Fixed expression update workflow to pass design_vars through simulation_runner
  * Restored working NX journal expression update mechanism
  * OP2 timestamp verification instead of file deletion
  * Resolved issue where all trials returned identical objective values
- Fixed LLMOptimizationRunner to pass design variables to simulation runner
- Enhanced NXSolver with timestamp-based file regeneration verification

New Components:
- optimization_engine/llm_optimization_runner.py - LLM-driven optimization runner
- optimization_engine/optimization_setup_wizard.py - Phase 3.3 setup wizard
- studies/bracket_displacement_maximizing/ - Complete substudy example
  * run_substudy.py - Substudy runner with continuation
  * run_optimization.py - Standalone optimization runner
  * config/substudy_template.json - Template for new substudies
  * substudies/coarse_exploration/ - 20-trial coarse search
  * substudies/fine_tuning/ - 50-trial refinement (continuation example)
  * SUBSTUDIES_README.md - Complete substudy documentation

Technical Improvements:
- Incremental history saving after each trial (optimization_history_incremental.json)
- Expression update workflow: .prt update → NX journal receives values → geometry update → FEM update → solve
- Trial indexing fix in substudy result saving
- Updated README with substudy system documentation

Testing:
- Successfully ran 20-trial coarse_exploration substudy
- Verified different objective values across trials (workflow fix validated)
- Confirmed live history updates in real-time
- Tested shared model file usage across substudies

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-16 21:29:54 -05:00
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 									<00>Version 9.4 JT  DM 10.7.0.1
-												refactor: Archive experimental LLM features for MVP stability (Phase 1.1)

Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration

Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference

Production runner confirmed: optimization_engine/runner.py is sole active runner.

This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)

Part of Phase 1: Core Stabilization & Organization for MVP

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>

											
										
										
											2025-11-24 09:12:36 -05:00
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