- Removed unused model usage properties (`total`, `tps`, `requestsSuccess`, etc.) for cleaner data handling.
- Added new metrics: total input/output tokens, null rate, and low uniqueness flags.
- Improved UI for execution summary cards with consolidated insights and model usage tables.
- Introduced detailed analysis for dataset columns, including dropped columns and LLM column counts.
- Optimized rendering logic to reduce clutter and enhance user experience.
- Added `log_lines` field to track and display runtime logs for executions.
- Enhanced progress tracking with terminal-like log outputs and live log scrolling.
- Introduced detailed "model usage" and "dropped columns" analysis in `ExecutionsView`.
- Optimized UI components for displaying dataset metrics, including input/output token averages.
- Added column visibility toggles using a dropdown menu for greater customization.
- Introduced expandable table cells for long values with "expand/collapse" functionality.
- Ensured hidden columns reset on execution change, providing a consistent user experience.
- Extracted shared execution utilities into `execution-helpers.ts` for reusability across features.
- Replaced deprecated `/preview` endpoint and its logic with unified job execution handling.
- Consolidated job execution flows ("Preview" and "Full Run") into shared `runJobExecution` logic.
- Enhanced execution progress tracking with support for column-level progress reporting.
- Added support for handling execution job events and improved error reporting from the backend.
- Updated backend to better manage dataset access errors and provide more informative error messages.
- Cleaned up redundant code in `use-recipe-studio-actions` and streamlined execution APIs.
- Introduced backend changes to handle dataset pagination with limit, offset, and total row support.
- Updated frontend execution view with dataset pagination controls, including "Next" and "Prev" buttons.
- Extended recipe execution logic to manage dataset pagination details like page number, page size, and total records.
- Introduced "Full Run" support in execution logic, including progress tracking, cancellation, and job status updates.
- Extended backend to manage full execution jobs, handle dataset previews, and return detailed analysis and artifacts.
- Updated frontend components to support full runs, with execution sorting, live updates, and detailed execution views.
- Enhanced `ExecutionsView` with progress indicators, status filtering, and dataset preview capabilities.
- Added IndexedDB schema migration to track additional execution metadata.
- Added `ExecutionsView` with execution history tracking, live updates, and detailed data analysis.
- Implemented IndexedDB support via Dexie to persist execution records locally.
- Enhanced backend preview logic to return execution analysis and artifacts.
- Updated studio header with view toggling between "Editor" and "Executions."
- Deleted `jinja-ref-autocomplete` components and related hooks.
- Replaced custom Jinja variable autocomplete with standard `Textarea` and `Input` components.
- Streamlined variable handling logic by replacing `getAvailableRefItems` with `getAvailableVariables`.
- Removed unused state (`flowMoving`) and redundant logic tied to Jinja-specific functionality.
- Adjusted padding, spacing, and grid configurations for better alignment and scaling across screen sizes.
- Enhanced mobile responsiveness by updating flex and grid layouts, ensuring optimal display on smaller devices.
- Tuned container dimensions and card styling to maintain design consistency.
- Implemented a utility to manage `training-compare-handoff` data in `sessionStorage` with strict validation and expiration logic.
- Added methods to set, retrieve, and clear handoff data for improved chat training flow.
- Added halfway/completed training hints with actionable links.
- Introduced sliders for adjusting max steps and epochs dynamically.
- Refined tooltip explanations for configuration parameters.
- Enabled custom overlay styling for `AlertDialogContent`.
- Introduced `EvalLossChartCard`, `GradNormChartCard`, `LearningRateChartCard`, and `TrainingLossChartCard` components.
- Implemented shared chart settings via `SharedChartSettings` to manage scale, outliers, and view configuration.
- Added utilities for metrics formatting, step tick generation, data compression, and smoothing (`utils.ts`).
- Created types and structures for chart data handling (`types.ts`).
- Removed redundant vision-check controllers.
- Added `NON_PERSISTED_STATE_KEYS` to manage persisted training state.
- Introduced `partializePersistedState` for cleaner state filtering.
- Implemented backend model configuration mapping to training state.
- Added auto-apply logic for default configurations when models are selected.
- Introduced utilities for type conversion and validation within training configuration.
