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- Implement fallback stack mechanism to store viable paths truncated from the main beam when they meet minimum score threshold - Add backtracking logic that pops highest-scoring entries from fallback stack when main beam exhausts without sufficient results - Introduce SearchState parameter for Pilot to handle backtrack guidance with new guide_backtrack method - Add max_backtracks and fallback_score_ratio configuration options to control backtracking behavior - Include comprehensive unit tests for fallback stack operations and backtracking functionality - Update NavigationDecision enum to track backtrack events in traces - Modify beam search to split candidates between main beam and fallback stack during each iteration
- move extract_keywords import from search to scoring module - create new scoring module with BM25 utilities - rename pilot_scorer.rs to decision_scorer.rs and relocate to pilot module - rename scorer.rs to pilot/scorer.rs - update all imports to reference correct module paths - move scoring related utilities to dedicated scoring module - separate search algorithms from scoring logic in search module
Add optional per-step reasoning tracking throughout the search pipeline to provide better context for navigation decisions. This includes: - Extend build_path_section() to show enhanced navigation history with step-by-step reasoning when available, falling back to original breadcrumb format otherwise - Introduce ScoredCandidate struct with optional reasoning field and new score_candidates_detailed() function that preserves reasoning from the Pilot for each candidate - Add step_reasons field to SearchState to track reasoning history through the search process - Update beam search algorithm to capture and propagate reasoning for each navigation step, including backtracking scenarios - Modify greedy and MCTS search implementations to support reasoning parameters while maintaining backward compatibility - Enhance SearchPath struct with step_reasons vector to maintain per-step reasoning history throughout multi-path algorithms
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