**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.

src/worker.js

@@ -0,0 +1,36 @@
+// Brainy Worker Script
+// This script is used by the workerUtils.js file to execute functions in a separate thread
+
+// Import text encoding utilities
+import { applyTensorFlowPatch } from './utils/textEncoding.js'
+
+// Apply the TensorFlow.js platform patch if needed
+applyTensorFlowPatch()
+
+// Log that the worker has started
+console.log('Brainy Worker: Started')
+
+self.onmessage = function (e) {
+  try {
+    console.log('Brainy Worker: Received message', e.data ? 'with data' : 'without data')
+
+    if (!e.data || !e.data.fnString) {
+      throw new Error('Invalid message: missing function string')
+    }
+
+    console.log('Brainy Worker: Creating function from string')
+    const fn = new Function('return ' + e.data.fnString)()
+
+    console.log('Brainy Worker: Executing function with args')
+    const result = fn(e.data.args)
+
+    console.log('Brainy Worker: Function executed successfully, posting result')
+    self.postMessage({ result: result })
+  } catch (error) {
+    console.error('Brainy Worker: Error executing function', error)
+    self.postMessage({ 
+      error: error.message,
+      stack: error.stack
+    })
+  }
+}