Anto01
0a71435dcc
Integrate OP2 data extraction with optimization config builder: - Add build_optimization_config() MCP tool - Add list_optimization_options() helper - Add format_optimization_options_for_llm() formatter - Update MCP tools documentation with full API details - Test with bracket example, generates valid config Features: - Discovers design variables from FEA model - Lists 4 available objectives (mass, stress, displacement, volume) - Lists 4 available constraints (stress/displacement/mass limits) - Validates user selections against model - Generates complete optimization_config.json Tested with examples/bracket/Bracket_sim1.sim: - Found 4 design variables (support_angle, tip_thickness, p3, support_blend_radius) - Created config with 2 objectives, 2 constraints, 150 trials 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
33 lines
987 B
Python
33 lines
987 B
Python
"""
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MCP Tools for Atomizer
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Available tools:
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- discover_fea_model: Analyze .sim files to extract configurable elements
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- build_optimization_config: Generate optimization config from LLM instructions
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- start_optimization: Launch optimization run
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- query_optimization_status: Get current iteration status
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- extract_results: Parse FEA result files
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- run_nx_journal: Execute NXOpen scripts
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- search_nxopen_docs: Search NXOpen API documentation
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"""
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from typing import Dict, Any
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from .model_discovery import discover_fea_model, format_discovery_result_for_llm
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from .optimization_config import (
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build_optimization_config,
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list_optimization_options,
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format_optimization_options_for_llm
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)
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__all__ = [
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"discover_fea_model",
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"format_discovery_result_for_llm",
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"build_optimization_config",
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"list_optimization_options",
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"format_optimization_options_for_llm",
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"start_optimization",
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"query_optimization_status",
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"extract_results",
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"run_nx_journal",
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]
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