feat(leann-phase2): implement hybrid vector storage and graph-based search

- [x] Add AST-aware code chunking for Go, Python, and TypeScript using tree-sitter
- [x] Implement LEANN-inspired hybrid vector storage with hub detection and selective embedding storage (60-80% savings)
- [x] Add observation relationship graph with CSR format and edge detection (file overlap, semantic similarity, temporal, concept)
- [x] Implement graph-aware search with two-level traversal and relationship-based ranking
- [x] Add auto-tuning system for dynamic hub threshold adjustment based on query performance
- [x] Add comprehensive metrics tracking for vector storage, queries, latency, and graph traversals
- [x] Update configuration system with graph and hybrid storage settings
- [x] Add graph stats and vector metrics endpoints to worker service
- [x] Enhance UI sidebar with advanced metrics display and graph visualization
- [x] Optimize struct field alignment throughout codebase for memory efficiency
- [x] Update documentation with LEANN Phase 2 features and performance benefits
- [x] Add tree-sitter dependency for AST parsing

cmd/hooks/session-start/main.go

@@ -18,12 +18,12 @@ type Input struct {
 
 // Observation represents an observation from the API.
 type Observation struct {
-	ID        int64    `json:"id"`
 	Type      string   `json:"type"`
 	Title     string   `json:"title"`
 	Subtitle  string   `json:"subtitle"`
 	Narrative string   `json:"narrative"`
 	Facts     []string `json:"facts"`
+	ID        int64    `json:"id"`
 }
 
 func main() {