**feat(cli, workers): introduce text encoding patches and worker improvements**

- Added `cli-package/brainy-wrapper.js` to patch global `TextEncoder` and `TextDecoder` for Node.js environments, ensuring compatibility with TensorFlow.js.
- Implemented unified text encoding utilities in `cli-package/src/utils/textEncoding.ts` for cross-environment consistency.
- Enhanced `src/worker.js` and introduced `src/worker.ts` to improve worker execution with better function serialization and error handling.
- Updated `package.json`:
  - Modified the `build` script to include a patch for `TextEncoder`.
  - Added `test-all` script for multi-environment testing.
  - Introduced the Puppeteer dependency for browser testing.
- Created a favicon generation script `scripts/create-favicon.js` using a base64-encoded icon.
- Added `scripts/test-all-environments.js` to run automated tests across Node.js, browser, and CLI environments.
- Enhanced `src/utils/workerUtils.ts` to support improved fallback mechanisms and robust worker pooling.

This update improves the project's compatibility across environments, refines worker functionalities, and adds comprehensive testing support for reliability.

cli-package/brainy-wrapper.js

@@ -0,0 +1,53 @@
+#!/usr/bin/env node
+
+/**
+ * Brainy CLI Wrapper
+ * This script patches the global object to fix TextEncoder issues before loading the CLI
+ */
+
+console.log('Brainy running in Node.js environment')
+
+// Define a custom PlatformNode class that doesn't rely on this.util.TextEncoder
+if (
+  typeof global !== 'undefined' &&
+  typeof process !== 'undefined' &&
+  process.versions &&
+  process.versions.node
+) {
+  try {
+    // Define a PlatformNode class that uses the global TextEncoder/TextDecoder directly
+    class PlatformNode {
+      constructor() {
+        // Create a util object with only the necessary methods
+        this.util = {
+          isFloat32Array: (arr) =>
+            !!(
+              arr instanceof Float32Array ||
+              (arr &&
+                Object.prototype.toString.call(arr) === '[object Float32Array]')
+            ),
+          isTypedArray: (arr) =>
+            !!(ArrayBuffer.isView(arr) && !(arr instanceof DataView))
+        }
+
+        // Initialize TextEncoder/TextDecoder instances directly from global
+        this.textEncoder = new TextEncoder()
+        this.textDecoder = new TextDecoder()
+      }
+    }
+
+    // Assign the PlatformNode class to the global object
+    global.PlatformNode = PlatformNode
+
+    // Also create an instance and assign it to global.platformNode (lowercase p)
+    global.platformNode = new PlatformNode()
+  } catch (error) {
+    console.warn('Failed to define global PlatformNode class:', error)
+  }
+}
+
+// Now load and run the actual CLI
+import('./dist/cli.js').catch((err) => {
+  console.error('Error loading CLI:', err)
+  process.exit(1)
+})