chore: recovery checkpoint - v3.0 API successfully recovered

CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB

Recovery Status:
- Successfully recovered brainy.ts from compiled JavaScript
- All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.)
- Neural subsystem intact (562KB embedded patterns, NLP working)
- Augmentation pipeline operational (20+ augmentations)
- HNSW clustering system complete
- Triple Intelligence compiled (needs constructor fix)
- Test suite validates functionality

Changes preserved:
- 898 files with changes from last 3 days
- 144,475 insertions
- All augmentation improvements
- All test coverage enhancements
- Complete v3.0 feature set

This is a LOCAL checkpoint only - contains recovered work after corruption incident.
Created backup in .backups/brainy-full-20250910-151314.tar.gz

Branch: recovery-checkpoint-20250910-151433
Date: Wed Sep 10 03:18:04 PM PDT 2025

.recovery-workspace/dist-backup-20250910-141917/config/modelAutoConfig.d.ts

@@ -0,0 +1,33 @@
+/**
+ * Model Configuration Auto-Selection
+ * Intelligently selects model precision based on environment
+ * while allowing manual override
+ */
+export type ModelPrecision = 'fp32' | 'q8';
+export type ModelPreset = 'fast' | 'small' | 'auto';
+interface ModelConfigResult {
+    precision: ModelPrecision;
+    reason: string;
+    autoSelected: boolean;
+}
+/**
+ * Auto-select model precision based on environment and resources
+ * DEFAULT: Q8 for optimal size/performance balance
+ * @param override - Manual override: 'fp32', 'q8', 'fast' (fp32), 'small' (q8), or 'auto'
+ */
+export declare function autoSelectModelPrecision(override?: ModelPrecision | ModelPreset): ModelConfigResult;
+/**
+ * Convenience function to check if models need to be downloaded
+ * This replaces the need for BRAINY_ALLOW_REMOTE_MODELS
+ */
+export declare function shouldAutoDownloadModels(): boolean;
+/**
+ * Get the model path with intelligent defaults
+ * This replaces the need for BRAINY_MODELS_PATH env var
+ */
+export declare function getModelPath(): string;
+/**
+ * Log model configuration decision (only in verbose mode)
+ */
+export declare function logModelConfig(config: ModelConfigResult, verbose?: boolean): void;
+export {};