Lars
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- Introduced path reordering functionality using LLM with `ordered_step_indices`, allowing for dynamic adjustment of exercise progression paths. - Added AI gap filling capabilities, enabling the system to propose new exercises when unbridgeable gaps are detected. - Updated the backend to support new request parameters for path reordering and AI gap filling. - Enhanced frontend components to reflect these new features, including alerts for AI proposals and adjustments in exercise display. - Incremented version to 0.8.187 and updated changelog to document these significant enhancements in planning AI functionality. |
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