Add Asset Lifecycle Management (ALM) agent implementation#13
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vikalluru wants to merge 9 commits intoNVIDIA:mainfrom
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Add Asset Lifecycle Management (ALM) agent implementation#13vikalluru wants to merge 9 commits intoNVIDIA:mainfrom
vikalluru wants to merge 9 commits intoNVIDIA:mainfrom
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- Add complete ALM workflow for predictive maintenance of turbofan engines - Include SQL retrieval tools using Vanna AI - Add RUL (Remaining Useful Life) prediction tools with XGBoost and MOMENT foundation model - Include anomaly detection and visualization tools - Add NASA turbofan engine degradation dataset - Include comprehensive documentation and evaluation framework - Add MOMENT time-series foundation model integration as embedded content Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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- Add comprehensive repository overview and architecture documentation - Include build, test, and linting instructions - Document NAT component registration pattern - Add YAML configuration structure examples - Include dependency management guidelines - Add Git commit signing requirements (GPG -S flag) - Document code style, licensing, and security requirements Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Remove industries/asset_lifecycle_management/data/ (NASA turbofan datasets) - Remove industries/asset_lifecycle_management/moment/ (MOMENT foundation model) - Remove .gitmodules (no longer using submodules) - Update .gitignore to exclude these folders - Files remain available locally for development This reduces repository size while keeping necessary files for local testing. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
…n files - Move asset_lifecycle_management from industries/ to examples/ - Remove industries/ directory - Track only README.md files among markdown files - Exclude: COMPARISON.md, INSTALLATION.md, MIGRATION_SUMMARY.md, README_MIGRATION.md - All code, configs, and data files preserved locally - Update .gitignore with specific file exclusions This reorganizes the repository structure while keeping all essential documentation. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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- Add E2B code execution tool implementation - Add E2B sandbox wrapper with file upload/download - Add E2B configuration documentation - Add E2B sandbox test script E2B provides cloud-hosted code execution without requiring Docker. Files are automatically uploaded to sandbox and downloaded after execution. Signed-off-by: Vineeth Kalluru <vikalluru@nvidia.com>
Integration changes: - Fix code_generation_assistant for async E2B integration - Add stdout/stderr list-to-string conversion for E2B results - Update config with E2B usage instructions and commented template - Consolidate to nat_alm_agent package name Project reorganization: - Move SQL tool comparison files to new_sql_tool_exploration/ (deferred) - Add .gitignore for exploration folder - Add CLAUDE.md session notes - Update MOMENT library numpy constraint (>=1.26.2) Testing: - E2B integration fully tested and working - Files successfully created and downloaded from cloud sandbox - TODO: Verify local Docker sandbox still works with changes Signed-off-by: Vineeth Kalluru <vikalluru@nvidia.com>
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Changes: - Ignore output_data/*.json files (runtime-generated) - Ignore CLAUDE.md session notes (not for version control) - Ignore test scripts (test_alm_workflow.py, test_e2b_sandbox.py) - Consolidate E2B and SSL documentation into configs/README.md - Update main README.md with E2B cloud sandbox information Removed from tracking: - Test scripts (now gitignored for local development) - Session notes (CLAUDE.md) - Output data JSON files (runtime artifacts) - Redundant config documentation (consolidated into README) Documentation improvements: - Added E2B vs Local Docker comparison table - Added E2B setup instructions with SSL troubleshooting - Added E2B configuration examples - Consolidated all config-related docs into single README Signed-off-by: Vineeth Kalluru <vikalluru@nvidia.com>
Removed folders: - eval_output_old/ (old evaluation artifacts) - example_eval_output/ (example evaluation outputs) - test_comparison_output/ (test comparison results) These folders contain runtime-generated evaluation and test artifacts that should not be version controlled. Added to .gitignore. Signed-off-by: Vineeth Kalluru <vikalluru@nvidia.com>
Provides users option to switch between MOMENT-1-Large (default) and NV Tesseract NIM for anomaly detection in sensor data. Changes: - Add nv_tesseract_anomaly_detection_tool.py with NIM-based implementation - Update register.py to import NV Tesseract tool - Add NV Tesseract configuration section in config-reasoning.yaml - Update system prompt to document both anomaly detection options - Add sensor data retrieval patterns to vanna_training_data.yaml - Document NV Tesseract setup and comparison in README.md NV Tesseract advantages: production-grade accuracy, forecasting, detailed anomaly scores, and specific sensor identification. MOMENT advantages: local execution, no API key, offline support. Signed-off-by: Vineeth Kalluru <vikalluru@nvidia.com>
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