chore: clean up project for release

Remove development artifacts, test files, and redundant directories:
- Delete debug/reproduction scripts and temporary test files
- Remove brainy-models-package/ (redundant with main models/ directory)
- Remove test-consumer/ development testing directory
- Remove build artifacts (coverage/, test-results.json)
- Remove large brainy-data/ test artifact directory

This cleanup reduces repository size significantly and prepares the project for a clean release.

brainy-models-package/dist/index.d.ts

@@ -1,103 +0,0 @@
-/**
- * @soulcraft/brainy-models
- *
- * Pre-bundled TensorFlow models for maximum reliability with Brainy vector database.
- * This package provides offline access to the Universal Sentence Encoder model,
- * eliminating network dependencies and ensuring consistent performance.
- */
-import * as tf from '@tensorflow/tfjs';
-export interface ModelMetadata {
-    name: string;
-    version: string;
-    description: string;
-    dimensions: number;
-    downloadDate: string;
-    source: string;
-    approach: string;
-    modelUrl: string;
-    bundledLocally: boolean;
-    reliability: string;
-}
-export interface BundledModelOptions {
-    verbose?: boolean;
-    preferCompressed?: boolean;
-}
-/**
- * Bundled Universal Sentence Encoder for offline use
- */
-export declare class BundledUniversalSentenceEncoder {
-    private model;
-    private metadata;
-    private options;
-    constructor(options?: BundledModelOptions);
-    /**
-     * Load the bundled model from local files
-     */
-    load(): Promise<void>;
-    /**
-     * Generate embeddings for the given texts
-     */
-    embed(texts: string[]): Promise<tf.Tensor2D>;
-    /**
-     * Generate embeddings and return as JavaScript arrays
-     */
-    embedToArrays(texts: string[]): Promise<number[][]>;
-    /**
-     * Get model metadata
-     */
-    getMetadata(): ModelMetadata | null;
-    /**
-     * Check if the model is loaded
-     */
-    isLoaded(): boolean;
-    /**
-     * Get model information
-     */
-    getModelInfo(): {
-        inputShape: number[];
-        outputShape: number[];
-    } | null;
-    /**
-     * Dispose of the model and free memory
-     */
-    dispose(): void;
-}
-/**
- * Model compression utilities
- */
-export declare class ModelCompressor {
-    /**
-     * Compress model weights using quantization
-     * Note: TensorFlow.js doesn't currently support model quantization
-     */
-    static quantizeModel(modelPath: string, outputPath: string, options?: {
-        dtype?: 'int8' | 'int16';
-    }): Promise<void>;
-    /**
-     * Get model size information by reading files from disk
-     */
-    static getModelSize(modelPath: string): Promise<{
-        totalSize: number;
-        weightsSize: number;
-        modelJsonSize: number;
-    }>;
-}
-/**
- * Utility functions
- */
-export declare const utils: {
-    /**
-     * Check if bundled models are available
-     */
-    checkModelsAvailable(): boolean;
-    /**
-     * Get bundled models directory
-     */
-    getModelsDirectory(): string;
-    /**
-     * List available bundled models
-     */
-    listAvailableModels(): string[];
-};
-export default BundledUniversalSentenceEncoder;
-//# sourceMappingURL=index.d.ts.map