diff --git a/typescript/.gitignore b/typescript/.gitignore
new file mode 100644
index 000000000000..f88acebeed7c
--- /dev/null
+++ b/typescript/.gitignore
@@ -0,0 +1,36 @@
+# Dependencies
+node_modules/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# Build outputs
+dist/
+docs/
+coverage/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Temporary files
+*.tmp
+*.temp
+.cache/
+
+# Environment variables
+.env
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+# Logs
+logs/
+*.log
\ No newline at end of file
diff --git a/typescript/GETTINGSTARTED.md b/typescript/GETTINGSTARTED.md
new file mode 100644
index 000000000000..f510ee3bf30d
--- /dev/null
+++ b/typescript/GETTINGSTARTED.md
@@ -0,0 +1,215 @@
+# Getting Started with TypeScript Semantic Kernel
+
+This 5-minute tutorial will get you up and running with the TypeScript Semantic Kernel SDK.
+
+## Quick Setup
+
+First, make sure you have the prerequisites from the [Installation Guide](./INSTALL.md):
+
+```bash
+# Check Node.js version (requires 18+)
+node --version
+
+# Set your OpenAI API key
+export OPENAI_API_KEY="your_openai_api_key_here"
+```
+
+## Hello Semantic Kernel
+
+Let's start with the simplest possible example - a basic chat interaction:
+
+```typescript
+import { Kernel, OpenAIChatCompletion } from 'semantic-kernel';
+
+async function quickChat() {
+  // 1. Create a kernel instance
+  const kernel = new Kernel();
+  
+  // 2. Add OpenAI chat completion service
+  const openai = new OpenAIChatCompletion({
+    apiKey: process.env.OPENAI_API_KEY,
+    model: 'gpt-4o'
+  });
+  kernel.addService(openai, 'chat');
+  
+  // 3. Send a prompt and get a response
+  const response = await kernel.chat('Hello! Tell me a fun fact about TypeScript.');
+  console.log('🤖 Assistant:', response.content);
+}
+
+quickChat();
+```
+
+Save this as `hello-kernel.ts` and run:
+
+```bash
+npx tsx hello-kernel.ts
+```
+
+**Expected Output:**
+```
+🤖 Assistant: TypeScript was created by Microsoft and was first released in 2012. One fun fact is that TypeScript code is transpiled to JavaScript, which means you can gradually adopt it in existing JavaScript projects without having to rewrite everything from scratch!
+```
+
+## Adding Plugins with Function Calling
+
+Now let's extend our example with a TimePlugin to demonstrate function calling:
+
+```typescript
+import { Kernel, OpenAIChatCompletion } from 'semantic-kernel';
+import { Context } from 'semantic-kernel';
+
+// Simple time plugin
+class TimePlugin {
+  async getCurrentTimeUtc(context: Context): Promise<string> {
+    return new Date().toISOString();
+  }
+  
+  async getCurrentTimeWithOffset(context: Context): Promise<string> {
+    const { offsetHours } = context.variables;
+    const now = new Date();
+    const utcTime = now.getTime() + (now.getTimezoneOffset() * 60000);
+    const targetTime = new Date(utcTime + (offsetHours * 3600000));
+    return targetTime.toISOString();
+  }
+}
+
+async function timeExample() {
+  // Create kernel and add OpenAI service
+  const kernel = new Kernel();
+  const openai = new OpenAIChatCompletion({
+    apiKey: process.env.OPENAI_API_KEY
+  });
+  kernel.addService(openai, 'chat');
+  
+  // Register the TimePlugin
+  const timePlugin = new TimePlugin();
+  kernel.addPlugin(timePlugin, 'time');
+  
+  // Ask a question that requires function calling
+  const response = await kernel.chat('What time is it in UTC +1 hour?');
+  console.log('🤖 Assistant:', response.content);
+}
+
+timeExample();
+```
+
+The kernel will automatically:
+1. Detect that the question requires time information
+2. Call the appropriate plugin function
+3. Use the function result to generate a helpful response
+
+## Memory and Retrieval-Augmented Generation (RAG)
+
+Let's add memory capabilities for context-aware responses:
+
+```typescript
+import { Kernel, OpenAIChatCompletion, InMemoryVectorStore } from 'semantic-kernel';
+
+async function ragExample() {
+  const kernel = new Kernel();
+  
+  // Add services
+  const openai = new OpenAIChatCompletion({ apiKey: process.env.OPENAI_API_KEY });
+  kernel.addService(openai, 'chat');
+  
+  const memoryStore = new InMemoryVectorStore();
+  kernel.registerMemoryStore(memoryStore);
+  
+  // Create knowledge base
+  await memoryStore.createCollection('docs');
+  
+  // Add some documents (with simple embeddings for demo)
+  const docs = [
+    'TypeScript is a strongly typed programming language.',
+    'Semantic Kernel enables AI orchestration and function calling.',
+    'Vector databases allow semantic search over documents.'
+  ];
+  
+  for (let i = 0; i < docs.length; i++) {
+    await memoryStore.upsert('docs', {
+      id: `doc-${i}`,
+      embedding: mockEmbedding(docs[i]), // Simple embedding function
+      metadata: { text: docs[i] }
+    });
+  }
+  
+  // Query with context
+  const query = 'Tell me about TypeScript';
+  const queryEmbedding = mockEmbedding(query);
+  const results = await memoryStore.getNearestMatches('docs', queryEmbedding, 2);
+  
+  const context = results.map(r => r.metadata?.text).join('\n');
+  const promptWithContext = `Context:\n${context}\n\nQuestion: ${query}`;
+  
+  const response = await kernel.chat(promptWithContext);
+  console.log('🤖 Assistant:', response.content);
+}
+
+// Simple embedding function for demo
+function mockEmbedding(text: string): number[] {
+  return text.split('').slice(0, 10).map(char => char.charCodeAt(0) / 255);
+}
+
+ragExample();
+```
+
+## Console Output Examples
+
+Here's what you should see when running the examples:
+
+### Quick Chat Example
+```
+🤖 Assistant: TypeScript was created by Microsoft and was first released in 2012...
+```
+
+### Time Plugin Example
+```
+🕒 Asking about time in UTC+1...
+🤖 Assistant: The current time in UTC+1 is 2024-01-15T15:30:45.123Z. This is Central European Time (CET).
+```
+
+### RAG Example
+```
+📚 Setting up vector memory with sample documents...
+🔍 Searching for similar documents...
+Found 2 similar documents:
+  1. TypeScript is a strongly typed programming language.
+  2. Semantic Kernel enables AI orchestration and function calling.
+🤖 Generating response with retrieved context...
+🤖 Assistant: Based on the context, TypeScript is a strongly typed programming language...
+```
+
+## Explore More Examples
+
+The repository includes comprehensive examples:
+
+- `01-quick-chat.ts` - Basic kernel usage
+- `02-time-plugin.ts` - Function calling with TimePlugin
+- `03-custom-weather-plugin.ts` - Custom plugin development
+- `04-memory-rag.ts` - Vector memory and RAG
+- `05-planner-multistep.ts` - Multi-step function calling
+- `06-rag-pipeline.ts` - Complete RAG pipeline
+- `07-mcp-server.ts` - Model Context Protocol server
+- `08-deno-compat.ts` - Deno runtime compatibility
+
+Run all examples:
+```bash
+cd typescript && npm run examples
+```
+
+## Next Steps
+
+- **Conceptual Learning**: Visit the [official Semantic Kernel documentation](https://learn.microsoft.com/en-us/semantic-kernel/)
+- **Advanced Examples**: Explore the [examples directory](./examples/)
+- **API Reference**: Check the generated [TypeDoc documentation](./docs/)
+- **Build Details**: Read the [TypeScript README](./README.md) for development setup
+
+## Getting Help
+
+- Check existing [examples](./examples/) for common patterns
+- Review the [installation guide](./INSTALL.md) for setup issues
+- Open GitHub issues for bugs or feature requests
+- Consult the [Microsoft Learn Quick-Start Guide](https://learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide) for deeper conceptual understanding
+
+Happy coding with TypeScript Semantic Kernel! 🚀
\ No newline at end of file
diff --git a/typescript/INSTALL.md b/typescript/INSTALL.md
new file mode 100644
index 000000000000..c6d9c13d13e2
--- /dev/null
+++ b/typescript/INSTALL.md
@@ -0,0 +1,156 @@
+# Installation Guide
+
+This guide will help you install and set up the TypeScript Semantic Kernel SDK.
+
+## Prerequisites
+
+- **Node.js 18+** - Download from [nodejs.org](https://nodejs.org/)
+- **Package Manager** - npm (comes with Node.js) or pnpm (recommended)
+- **Git** - For cloning the repository
+- **TypeScript Knowledge** - Basic familiarity with TypeScript
+
+## Environment Variables
+
+Before using the SDK, you'll need to set up your API keys:
+
+### Required
+
+- `OPENAI_API_KEY` - Your OpenAI API key from [platform.openai.com](https://platform.openai.com/)
+
+### Optional
+
+- `AZURE_OPENAI_ENDPOINT` - Azure OpenAI service endpoint
+- `AZURE_OPENAI_API_KEY` - Azure OpenAI API key
+- `AZURE_OPENAI_DEPLOYMENT_NAME` - Azure OpenAI deployment name
+- `OPENAI_MODEL` - OpenAI model to use (default: `gpt-4o`)
+
+Set these in your shell or create a `.env` file:
+
+```bash
+export OPENAI_API_KEY="your_openai_api_key_here"
+```
+
+## Installation Options
+
+### Option 1: NPM Package (Recommended)
+
+```bash
+npm install semantic-kernel
+```
+
+### Option 2: Local Development
+
+Clone and build from source:
+
+```bash
+# Clone the repository
+git clone https://github.com/atveit/codextesting.git
+cd codextesting/typescript
+
+# Install dependencies
+npm install
+
+# Build the project
+npm run build
+
+# Link for local development
+npm link
+```
+
+In your project:
+
+```bash
+npm link semantic-kernel
+```
+
+## Running Examples
+
+After installation, you can run the included examples:
+
+### Using NPM Package
+
+```bash
+# Quick chat example
+OPENAI_API_KEY=your_key npx tsx examples/01-quick-chat.ts
+
+# Time plugin example
+OPENAI_API_KEY=your_key npx tsx examples/02-time-plugin.ts
+
+# Weather plugin example
+OPENAI_API_KEY=your_key npx tsx examples/03-custom-weather-plugin.ts
+```
+
+### Using Local Build
+
+```bash
+# Install tsx for TypeScript execution
+npm install -g tsx
+
+# Run examples
+cd typescript
+npm run examples:01
+npm run examples:02
+npm run examples:03
+```
+
+### All Examples at Once
+
+```bash
+npm run examples
+```
+
+## Deno Support
+
+The SDK also works with Deno:
+
+```bash
+# Install Deno
+curl -fsSL https://deno.land/install.sh | sh
+
+# Run Deno example
+OPENAI_API_KEY=your_key deno run --allow-env --allow-net examples/08-deno-compat.ts
+```
+
+## Verification
+
+Test your installation with a simple script:
+
+```typescript
+import { Kernel, OpenAIChatCompletion } from 'semantic-kernel';
+
+const kernel = new Kernel();
+const openai = new OpenAIChatCompletion({
+  apiKey: process.env.OPENAI_API_KEY
+});
+kernel.addService(openai, 'chat');
+
+const response = await kernel.chat('Hello, world!');
+console.log(response.content);
+```
+
+Save as `test.ts` and run:
+
+```bash
+OPENAI_API_KEY=your_key npx tsx test.ts
+```
+
+## Troubleshooting
+
+### Common Issues
+
+1. **"Connection error"** - Check your `OPENAI_API_KEY` is valid
+2. **"Unknown file extension .ts"** - Install `tsx`: `npm install -g tsx`
+3. **"Module not found"** - Run `npm install` in the project directory
+4. **Deno permissions** - Use `--allow-env --allow-net` flags
+
+### Support
+
+- Check the [examples directory](./examples/) for working code
+- Review the [Getting Started Guide](./GETTINGSTARTED.md)
+- Open an issue on GitHub for bugs
+
+## Next Steps
+
+- Read the [Getting Started Guide](./GETTINGSTARTED.md)
+- Explore the [examples](./examples/)
+- Check out the [TypeScript README](./README.md) for build details
\ No newline at end of file
diff --git a/typescript/README.md b/typescript/README.md
new file mode 100644
index 000000000000..95b8a00a1659
--- /dev/null
+++ b/typescript/README.md
@@ -0,0 +1,198 @@
+# TypeScript Semantic Kernel SDK
+
+This directory contains the TypeScript implementation of the Semantic Kernel SDK with comprehensive examples and a robust build pipeline.
+
+## Quick Start
+
+```bash
+# Install dependencies
+npm install
+
+# Run a simple example
+OPENAI_API_KEY=your_key npm run examples:01
+
+# Run all examples
+npm run examples
+
+# Build the project
+npm run build
+```
+
+## Examples
+
+The SDK includes comprehensive examples demonstrating various capabilities. Each example is self-contained and well-documented.
+
+### 🚀 [01-quick-chat.ts](./examples/01-quick-chat.ts)
+**Basic kernel usage** - Minimal "Hello Kernel" script showing how to create a kernel, add OpenAI chat completion, and get a response.
+```bash
+npm run examples:01
+```
+
+### ⏰ [02-time-plugin.ts](./examples/02-time-plugin.ts)  
+**Function calling with TimePlugin** - Demonstrates registering plugins and function calling by asking "What time is it in UTC +1 hour?"
+```bash
+npm run examples:02
+```
+
+### 🌤️ [03-custom-weather-plugin.ts](./examples/03-custom-weather-plugin.ts)
+**Custom plugin development** - Shows how to create custom plugins with auto-generated JSON schemas and function calling loops.
+```bash
+npm run examples:03
+```
+
+### 🧠 [04-memory-rag.ts](./examples/04-memory-rag.ts)
+**Vector memory and RAG** - Demonstrates creating an in-memory vector store, upserting documents, and performing semantic search for retrieval-augmented generation.
+```bash
+npm run examples:04
+```
+
+### 🔗 [05-planner-multistep.ts](./examples/05-planner-multistep.ts)
+**Multi-step function calling** - Advanced example showing complex multi-step planning and execution workflows.
+```bash
+npm run examples:05
+```
+
+### 📚 [06-rag-pipeline.ts](./examples/06-rag-pipeline.ts)
+**Complete RAG pipeline** - Full implementation of a retrieval-augmented generation pipeline with document processing and context injection.
+```bash
+npm run examples:06
+```
+
+### 🖥️ [07-mcp-server.ts](./examples/07-mcp-server.ts)
+**Model Context Protocol server** - Implementation of MCP server for structured AI model interactions.
+```bash
+npm run examples:07
+```
+
+### 🦕 [08-deno-compat.ts](./examples/08-deno-compat.ts)
+**Deno runtime compatibility** - Shows how to use the SDK with Deno runtime.
+```bash
+npm run examples:08
+# or with Deno: deno run --allow-env --allow-net examples/08-deno-compat.ts
+```
+
+### Running Examples
+
+Run individual examples:
+```bash
+OPENAI_API_KEY=your_key npm run examples:01
+OPENAI_API_KEY=your_key npm run examples:02
+# ... etc
+```
+
+Run all examples at once:
+```bash
+OPENAI_API_KEY=your_key npm run examples
+```
+
+### Example Plugins
+
+The examples include custom plugins in [`./examples/plugins/`](./examples/plugins/):
+- **[TimePlugin](./examples/plugins/TimePlugin.ts)** - Provides current time functions with timezone support
+- **[WeatherPlugin](./examples/plugins/WeatherPlugin.ts)** - Mock weather service with current conditions and forecasts
+
+## Getting Started
+
+For a step-by-step tutorial, see the [Getting Started Guide](./GETTINGSTARTED.md). For installation details, check the [Installation Guide](./INSTALL.md).
+
+## Features
+
+- **Dual Package Support**: Generates both CommonJS (`.cjs`) and ESM (`.mjs`) bundles
+- **Type Declarations**: Full TypeScript type definitions with source maps
+- **Source Maps**: Debugging support for both formats
+- **Linting**: ESLint with TypeScript support
+- **Testing**: Jest with coverage reporting
+- **Documentation**: TypeDoc for API documentation generation
+- **CI/CD**: GitHub Actions pipeline
+
+## Development
+
+### Basic Workflow
+```bash
+# Install dependencies
+npm install
+
+# Development workflow
+npm run clean
+npm run build
+npm test
+
+# Generate documentation
+npm run docs
+
+# Lint and fix code
+npm run lint:fix
+```
+
+### Build Scripts
+
+| Command | Description |
+|---------|-------------|
+| `npm run build` | Full build pipeline (clean → type-check → esbuild → types) |
+| `npm run build:esbuild` | Generate CommonJS and ESM bundles with source maps |
+| `npm run build:types` | Generate TypeScript declarations |
+| `npm run clean` | Remove all build artifacts |
+| `npm run type-check` | Type checking without emitting files |
+| `npm run lint` | ESLint code analysis |
+| `npm run lint:fix` | Auto-fix linting issues |
+| `npm run test` | Run tests |
+| `npm run test:watch` | Run tests in watch mode |
+| `npm run test:coverage` | Run tests with coverage report |
+| `npm run docs` | Generate API documentation |
+| `npm run dev` | Build and run the generated bundle |
+
+## External Dependencies
+
+The bundles externalize these dependencies (must be installed separately):
+- `openai` - OpenAI SDK  
+- `zod` - Schema validation
+- `@opentelemetry/api` - Observability
+
+This keeps the bundle size minimal while supporting tree-shaking in consuming applications.
+
+## Build Pipeline Details
+
+### Output Structure
+
+```
+dist/
+├── index.cjs           # CommonJS bundle
+├── index.cjs.map       # CommonJS source map
+├── index.mjs           # ESM bundle  
+├── index.mjs.map       # ESM source map
+├── index.d.ts          # Main type declarations
+├── *.d.ts              # Individual module declarations
+├── *.d.ts.map          # Declaration source maps
+└── package.json        # Dual package exports configuration
+```
+
+### Package Exports
+
+The generated `dist/package.json` supports dual package exports:
+
+```json
+{
+  "main": "./index.cjs",
+  "module": "./index.mjs", 
+  "types": "./index.d.ts",
+  "exports": {
+    ".": {
+      "import": "./index.mjs",
+      "require": "./index.cjs",
+      "types": "./index.d.ts"
+    }
+  }
+}
+```
+
+### CI Pipeline
+
+The GitHub Actions workflow (`.github/workflows/typescript.yml`) runs:
+
+1. **Lint** - Code quality checks
+2. **Type Check** - TypeScript compilation validation
+3. **Build** - Generate dual bundles and type declarations
+4. **Test** - Run test suite with coverage
+5. **Docs** - Generate API documentation
+
+The pipeline runs on Node.js 18.x and 20.x for compatibility testing.
\ No newline at end of file
diff --git a/typescript/build.js b/typescript/build.js
new file mode 100644
index 000000000000..d3d7703827bf
--- /dev/null
+++ b/typescript/build.js
@@ -0,0 +1,59 @@
+#!/usr/bin/env node
+
+import { build } from 'esbuild';
+import { readFile, writeFile } from 'fs/promises';
+import { join } from 'path';
+
+const sharedConfig = {
+  entryPoints: ['src/index.ts'],
+  bundle: true,
+  sourcemap: true,
+  platform: 'node',
+  target: 'node18',
+  external: ['openai', 'zod', '@opentelemetry/api'],
+  minify: false,
+};
+
+async function buildAll() {
+  console.log('Building CommonJS bundle...');
+  await build({
+    ...sharedConfig,
+    format: 'cjs',
+    outfile: 'dist/index.cjs',
+  });
+
+  console.log('Building ESM bundle...');
+  await build({
+    ...sharedConfig,
+    format: 'esm',
+    outfile: 'dist/index.mjs',
+  });
+
+  // Create package.json for ESM support
+  console.log('Creating package.json for dual package support...');
+  const packageJson = JSON.parse(await readFile('package.json', 'utf8'));
+  
+  const distPackageJson = {
+    name: packageJson.name,
+    version: packageJson.version,
+    main: './index.cjs',
+    module: './index.mjs',
+    types: './index.d.ts',
+    exports: {
+      '.': {
+        import: './index.mjs',
+        require: './index.cjs',
+        types: './index.d.ts'
+      }
+    }
+  };
+
+  await writeFile(
+    join('dist', 'package.json'),
+    JSON.stringify(distPackageJson, null, 2)
+  );
+
+  console.log('Build complete!');
+}
+
+buildAll().catch(console.error);
\ No newline at end of file
diff --git a/typescript/eslint.config.js b/typescript/eslint.config.js
new file mode 100644
index 000000000000..e811ac5c4260
--- /dev/null
+++ b/typescript/eslint.config.js
@@ -0,0 +1,82 @@
+import js from '@eslint/js';
+import tsPlugin from '@typescript-eslint/eslint-plugin';
+import tsParser from '@typescript-eslint/parser';
+
+export default [
+  js.configs.recommended,
+  {
+    files: ['**/*.ts', '**/*.tsx'],
+    ignores: ['**/*.test.ts', '**/*.spec.ts'],
+    languageOptions: {
+      parser: tsParser,
+      parserOptions: {
+        ecmaVersion: 2020,
+        sourceType: 'module',
+        project: './tsconfig.json',
+      },
+      globals: {
+        console: 'readonly',
+        process: 'readonly',
+        Buffer: 'readonly',
+        global: 'readonly',
+        globalThis: 'readonly',
+      },
+    },
+    plugins: {
+      '@typescript-eslint': tsPlugin,
+    },
+    rules: {
+      ...tsPlugin.configs.recommended.rules,
+      '@typescript-eslint/no-unused-vars': 'error',
+      '@typescript-eslint/no-explicit-any': 'warn',
+      '@typescript-eslint/explicit-function-return-type': 'off',
+      '@typescript-eslint/explicit-module-boundary-types': 'off',
+      '@typescript-eslint/no-non-null-assertion': 'warn',
+      '@typescript-eslint/no-unsafe-function-type': 'warn',
+      '@typescript-eslint/no-empty-object-type': 'warn',
+      'no-undef': 'off', // TypeScript handles this
+    },
+  },
+  {
+    files: ['**/*.test.ts', '**/*.spec.ts'],
+    languageOptions: {
+      parser: tsParser,
+      parserOptions: {
+        ecmaVersion: 2020,
+        sourceType: 'module',
+      },
+      globals: {
+        console: 'readonly',
+        process: 'readonly',
+        Buffer: 'readonly',
+        global: 'readonly',
+        globalThis: 'readonly',
+        describe: 'readonly',
+        test: 'readonly',
+        expect: 'readonly',
+        beforeEach: 'readonly',
+        afterEach: 'readonly',
+        beforeAll: 'readonly',
+        afterAll: 'readonly',
+        jest: 'readonly',
+      },
+    },
+    plugins: {
+      '@typescript-eslint': tsPlugin,
+    },
+    rules: {
+      '@typescript-eslint/no-explicit-any': 'off',
+      'no-undef': 'off',
+    },
+  },
+  {
+    files: ['**/*.js', '**/*.mjs'],
+    languageOptions: {
+      ecmaVersion: 2020,
+      sourceType: 'module',
+    },
+  },
+  {
+    ignores: ['dist/**', 'node_modules/**', '*.config.js', '**/*.d.ts'],
+  },
+];
\ No newline at end of file
diff --git a/typescript/examples/01-quick-chat-mock.ts b/typescript/examples/01-quick-chat-mock.ts
new file mode 100644
index 000000000000..19afc320a052
--- /dev/null
+++ b/typescript/examples/01-quick-chat-mock.ts
@@ -0,0 +1,53 @@
+#!/usr/bin/env node
+
+/**
+ * 01-quick-chat-mock.ts
+ * 
+ * CI-friendly version of quick-chat that uses mocked OpenAI responses
+ * for testing without requiring real API keys.
+ * 
+ * Usage: npm run examples:mock
+ */
+
+import { Kernel } from '../src/index.js';
+
+// Mock OpenAI chat completion for CI
+class MockChatCompletion {
+  async completeChat(messages: any[]): Promise<any> {
+    // Return a mock response
+    return {
+      role: 'assistant',
+      content: 'Hello! Here\'s a fun fact about TypeScript: TypeScript was created by Microsoft in 2012 and compiles to plain JavaScript, making it easier to catch errors during development while still running anywhere JavaScript runs.'
+    };
+  }
+
+  async *streamChat(messages: any[]): AsyncIterable<any> {
+    yield {
+      role: 'assistant',
+      content: 'Mock response for streaming',
+      functionCall: undefined
+    };
+  }
+}
+
+async function main() {
+  try {
+    // Create kernel instance
+    const kernel = new Kernel();
+    
+    // Add mock chat completion service for CI testing
+    const mockChat = new MockChatCompletion();
+    kernel.addService(mockChat, 'chat');
+    
+    // Single prompt/response
+    const response = await kernel.chat('Hello! Tell me a fun fact about TypeScript.');
+    console.log('🤖 Assistant:', response.content);
+    
+    console.log('✅ PASS - Mock quick chat example completed successfully');
+  } catch (error: any) {
+    console.error('❌ FAIL - Error in mock quick chat example:', error.message);
+    process.exit(1);
+  }
+}
+
+main();
\ No newline at end of file
diff --git a/typescript/examples/01-quick-chat.ts b/typescript/examples/01-quick-chat.ts
new file mode 100644
index 000000000000..fcd1eee068dc
--- /dev/null
+++ b/typescript/examples/01-quick-chat.ts
@@ -0,0 +1,37 @@
+#!/usr/bin/env node
+
+/**
+ * 01-quick-chat.ts
+ * 
+ * Minimal "Hello Kernel" 20-line script: create kernel → add OpenAIChatCompletion → single prompt/response.
+ * Must work with only an OPENAI_API_KEY set.
+ * 
+ * Usage: OPENAI_API_KEY=your_key_here npx tsx examples/01-quick-chat.ts
+ */
+
+import { Kernel, OpenAIChatCompletion } from '../src/index.js';
+
+async function main() {
+  try {
+    // Create kernel instance
+    const kernel = new Kernel();
+    
+    // Add OpenAI chat completion service
+    const openai = new OpenAIChatCompletion({
+      apiKey: process.env.OPENAI_API_KEY,
+      model: 'gpt-4o'
+    });
+    kernel.addService(openai, 'chat');
+    
+    // Single prompt/response
+    const response = await kernel.chat('Hello! Tell me a fun fact about TypeScript.');
+    console.log('🤖 Assistant:', response.content);
+    
+    console.log('✅ PASS - Quick chat example completed successfully');
+  } catch (error: any) {
+    console.error('❌ FAIL - Error in quick chat example:', error.message);
+    process.exit(1);
+  }
+}
+
+main();
\ No newline at end of file
diff --git a/typescript/examples/02-time-plugin.ts b/typescript/examples/02-time-plugin.ts
new file mode 100644
index 000000000000..c0b9c6345fff
--- /dev/null
+++ b/typescript/examples/02-time-plugin.ts
@@ -0,0 +1,44 @@
+#!/usr/bin/env node
+
+/**
+ * 02-time-plugin.ts
+ * 
+ * Port of the Python TimePlugin sample - register plugin, ask "What time is it in UTC +1 h?" 
+ * and show the LLM performs the function-call loop.
+ * 
+ * Usage: OPENAI_API_KEY=your_key_here npx tsx examples/02-time-plugin.ts
+ */
+
+import { Kernel, OpenAIChatCompletion } from '../src/index.js';
+import { TimePlugin } from './plugins/TimePlugin.js';
+
+async function main() {
+  try {
+    // Create kernel instance
+    const kernel = new Kernel();
+    
+    // Add OpenAI chat completion service
+    const openai = new OpenAIChatCompletion({
+      apiKey: process.env.OPENAI_API_KEY,
+      model: 'gpt-4o'
+    });
+    kernel.addService(openai, 'chat');
+    
+    // Register TimePlugin
+    const timePlugin = new TimePlugin();
+    kernel.addPlugin(timePlugin, 'time');
+    
+    console.log('🕒 Asking about time in UTC+1...');
+    
+    // Ask about time with function calling
+    const response = await kernel.chat('What time is it in UTC +1 hour?');
+    console.log('🤖 Assistant:', response.content);
+    
+    console.log('✅ PASS - Time plugin example completed successfully');
+  } catch (error: any) {
+    console.error('❌ FAIL - Error in time plugin example:', error.message);
+    process.exit(1);
+  }
+}
+
+main();
\ No newline at end of file
diff --git a/typescript/examples/03-custom-weather-plugin.ts b/typescript/examples/03-custom-weather-plugin.ts
new file mode 100644
index 000000000000..ec1df443e8f8
--- /dev/null
+++ b/typescript/examples/03-custom-weather-plugin.ts
@@ -0,0 +1,44 @@
+#!/usr/bin/env node
+
+/**
+ * 03-custom-weather-plugin.ts
+ * 
+ * Re-implement the "OpenAI function-calling with custom WeatherPlugin" demo in TS 
+ * (auto-generated JSON schema, looping until final answer).
+ * 
+ * Usage: OPENAI_API_KEY=your_key_here npx tsx examples/03-custom-weather-plugin.ts
+ */
+
+import { Kernel, OpenAIChatCompletion } from '../src/index.js';
+import { WeatherPlugin } from './plugins/WeatherPlugin.js';
+
+async function main() {
+  try {
+    // Create kernel instance
+    const kernel = new Kernel();
+    
+    // Add OpenAI chat completion service
+    const openai = new OpenAIChatCompletion({
+      apiKey: process.env.OPENAI_API_KEY,
+      model: 'gpt-4o'
+    });
+    kernel.addService(openai, 'chat');
+    
+    // Register WeatherPlugin
+    const weatherPlugin = new WeatherPlugin();
+    kernel.addPlugin(weatherPlugin, 'weather');
+    
+    console.log('🌤️ Asking about weather with function calling...');
+    
+    // Ask about weather with function calling
+    const response = await kernel.chat('What\'s the weather like in New York today?');
+    console.log('🤖 Assistant:', response.content);
+    
+    console.log('✅ PASS - Weather plugin example completed successfully');
+  } catch (error: any) {
+    console.error('❌ FAIL - Error in weather plugin example:', error.message);
+    process.exit(1);
+  }
+}
+
+main();
\ No newline at end of file
diff --git a/typescript/examples/04-memory-rag.ts b/typescript/examples/04-memory-rag.ts
new file mode 100644
index 000000000000..24378996cc20
--- /dev/null
+++ b/typescript/examples/04-memory-rag.ts
@@ -0,0 +1,106 @@
+#!/usr/bin/env node
+
+/**
+ * 04-memory-rag.ts
+ * 
+ * Demonstrate vector memory: create in-memory store → upsert three text snippets → 
+ * query for semantically similar text → feed retrieved context back into LLM for an answer.
+ * Mirrors Python sample 06-memory-and-embeddings.ipynb.
+ * 
+ * Usage: OPENAI_API_KEY=your_key_here npx tsx examples/04-memory-rag.ts
+ */
+
+import { Kernel, OpenAIChatCompletion, InMemoryVectorStore } from '../src/index.js';
+
+// Mock embedding function for demonstration (in real implementation, use OpenAI embeddings)
+function mockEmbedding(text: string): number[] {
+  const hash = text.split('').reduce((a, b) => {
+    a = ((a << 5) - a) + b.charCodeAt(0);
+    return a & a;
+  }, 0);
+  
+  // Generate a simple 10-dimensional vector based on text hash
+  const vector = [];
+  for (let i = 0; i < 10; i++) {
+    vector.push(Math.sin(hash + i) * 0.5 + 0.5);
+  }
+  return vector;
+}
+
+async function main() {
+  try {
+    // Create kernel instance
+    const kernel = new Kernel();
+    
+    // Add OpenAI chat completion service
+    const openai = new OpenAIChatCompletion({
+      apiKey: process.env.OPENAI_API_KEY,
+      model: 'gpt-4o'
+    });
+    kernel.addService(openai, 'chat');
+    
+    // Create and register memory store
+    const memoryStore = new InMemoryVectorStore();
+    kernel.registerMemoryStore(memoryStore);
+    
+    console.log('📚 Setting up vector memory with sample documents...');
+    
+    // Create collection and upsert sample documents
+    await memoryStore.createCollection('documents');
+    
+    const sampleDocs = [
+      {
+        id: 'doc1',
+        text: 'TypeScript is a strongly typed programming language that builds on JavaScript.',
+        embedding: mockEmbedding('TypeScript is a strongly typed programming language that builds on JavaScript.')
+      },
+      {
+        id: 'doc2', 
+        text: 'Machine learning involves algorithms that improve automatically through experience.',
+        embedding: mockEmbedding('Machine learning involves algorithms that improve automatically through experience.')
+      },
+      {
+        id: 'doc3',
+        text: 'React is a JavaScript library for building user interfaces.',
+        embedding: mockEmbedding('React is a JavaScript library for building user interfaces.')
+      }
+    ];
+    
+    for (const doc of sampleDocs) {
+      await memoryStore.upsert('documents', {
+        id: doc.id,
+        embedding: doc.embedding,
+        metadata: { text: doc.text }
+      });
+    }
+    
+    console.log('🔍 Searching for similar documents...');
+    
+    // Query for similar documents
+    const queryText = 'Tell me about programming languages';
+    const queryEmbedding = mockEmbedding(queryText);
+    const results = await memoryStore.getNearestMatches('documents', queryEmbedding, 2);
+    
+    console.log(`Found ${results.length} similar documents:`);
+    results.forEach((result, index) => {
+      console.log(`  ${index + 1}. ${result.metadata?.text}`);
+    });
+    
+    // Create context from retrieved documents
+    const context = results.map(r => r.metadata?.text).join('\n\n');
+    const promptWithContext = `Based on this context:\n\n${context}\n\nQuestion: ${queryText}`;
+    
+    console.log('🤖 Generating response with retrieved context...');
+    
+    // Get LLM response with context
+    const response = await kernel.chat(promptWithContext);
+    console.log('🤖 Assistant:', response.content);
+    
+    console.log('✅ PASS - Memory RAG example completed successfully');
+  } catch (error: any) {
+    console.error('❌ FAIL - Error in memory RAG example:', error.message);
+    process.exit(1);
+  }
+}
+
+main();
\ No newline at end of file
diff --git a/typescript/examples/05-planner-multistep.ts b/typescript/examples/05-planner-multistep.ts
new file mode 100644
index 000000000000..71ead967f4b8
--- /dev/null
+++ b/typescript/examples/05-planner-multistep.ts
@@ -0,0 +1,57 @@
+#!/usr/bin/env node
+
+/**
+ * 05-planner-multistep.ts
+ * 
+ * Complex user goal ("plan my Saturday itinerary") showing multi-turn function-calling loop 
+ * with two plugins (Time & Weather). Confirms planning logic from Task 4.
+ * 
+ * Usage: OPENAI_API_KEY=your_key_here npx tsx examples/05-planner-multistep.ts
+ */
+
+import { Kernel, OpenAIChatCompletion } from '../src/index.js';
+import { TimePlugin } from './plugins/TimePlugin.js';
+import { WeatherPlugin } from './plugins/WeatherPlugin.js';
+
+async function main() {
+  try {
+    // Create kernel instance
+    const kernel = new Kernel();
+    
+    // Add OpenAI chat completion service
+    const openai = new OpenAIChatCompletion({
+      apiKey: process.env.OPENAI_API_KEY,
+      model: 'gpt-4o'
+    });
+    kernel.addService(openai, 'chat');
+    
+    // Register plugins
+    const timePlugin = new TimePlugin();
+    const weatherPlugin = new WeatherPlugin();
+    kernel.addPlugin(timePlugin, 'time');
+    kernel.addPlugin(weatherPlugin, 'weather');
+    
+    console.log('📅 Planning Saturday itinerary with multi-step function calling...');
+    
+    // Complex planning request that should trigger multiple function calls
+    const planningPrompt = `
+      Help me plan my Saturday itinerary in New York. 
+      I want to know:
+      1. What time it is now
+      2. What the weather will be like
+      3. Based on the time and weather, suggest some activities
+      
+      Please use the available functions to get current information.
+    `;
+    
+    const response = await kernel.chat(planningPrompt);
+    console.log('🤖 Assistant:', response.content);
+    
+    console.log('✅ PASS - Multi-step planner example completed successfully');
+  } catch (error: any) {
+    console.error('❌ FAIL - Error in multi-step planner example:', error.message);
+    process.exit(1);
+  }
+}
+
+main();
\ No newline at end of file
diff --git a/typescript/examples/06-rag-pipeline.ts b/typescript/examples/06-rag-pipeline.ts
new file mode 100644
index 000000000000..3b6b8bacd333
--- /dev/null
+++ b/typescript/examples/06-rag-pipeline.ts
@@ -0,0 +1,78 @@
+#!/usr/bin/env node
+
+/**
+ * 06-rag-pipeline.ts
+ * 
+ * 50-line Retrieval-Augmented-Generation pipeline (embed → search → compose prompt).
+ * Inspired by RAG blog tutorial.
+ * 
+ * Usage: OPENAI_API_KEY=your_key_here npx tsx examples/06-rag-pipeline.ts
+ */
+
+import { Kernel, OpenAIChatCompletion, InMemoryVectorStore } from '../src/index.js';
+
+// Simple embedding function for demonstration
+function createEmbedding(text: string): number[] {
+  const words = text.toLowerCase().split(/\W+/).filter(w => w.length > 0);
+  const vector = new Array(50).fill(0);
+  words.forEach((word, i) => {
+    const hash = word.split('').reduce((a, b) => ((a << 5) - a) + b.charCodeAt(0), 0);
+    vector[Math.abs(hash) % 50] += 1;
+  });
+  return vector;
+}
+
+async function main() {
+  try {
+    console.log('🔄 RAG Pipeline: Starting...');
+    
+    // 1. Setup
+    const kernel = new Kernel();
+    const openai = new OpenAIChatCompletion({ apiKey: process.env.OPENAI_API_KEY });
+    kernel.addService(openai, 'chat');
+    
+    const vectorStore = new InMemoryVectorStore();
+    await vectorStore.createCollection('knowledge');
+    
+    // 2. Embed & Index documents
+    const documents = [
+      'Semantic Kernel is an open-source SDK for AI orchestration.',
+      'TypeScript provides static typing for JavaScript development.',
+      'Vector databases enable semantic search and retrieval.',
+      'Large Language Models can process and generate human-like text.',
+      'RAG combines retrieval with generation for better responses.'
+    ];
+    
+    console.log('📝 Embedding and indexing documents...');
+    for (let i = 0; i < documents.length; i++) {
+      await vectorStore.upsert('knowledge', {
+        id: `doc-${i}`,
+        embedding: createEmbedding(documents[i]),
+        metadata: { text: documents[i] }
+      });
+    }
+    
+    // 3. Query & Search
+    const query = 'How does semantic search work?';
+    console.log(`🔍 Searching for: "${query}"`);
+    
+    const queryEmbedding = createEmbedding(query);
+    const results = await vectorStore.getNearestMatches('knowledge', queryEmbedding, 3);
+    
+    // 4. Compose prompt with context
+    const context = results.map(r => r.metadata?.text).join('\n');
+    const ragPrompt = `Context:\n${context}\n\nQuestion: ${query}\n\nAnswer:`;
+    
+    // 5. Generate response
+    console.log('🤖 Generating RAG response...');
+    const response = await kernel.chat(ragPrompt);
+    console.log('📖 RAG Response:', response.content);
+    
+    console.log('✅ PASS - RAG pipeline example completed successfully');
+  } catch (error: any) {
+    console.error('❌ FAIL - Error in RAG pipeline example:', error.message);
+    process.exit(1);
+  }
+}
+
+main();
\ No newline at end of file
diff --git a/typescript/examples/07-mcp-server.ts b/typescript/examples/07-mcp-server.ts
new file mode 100644
index 000000000000..ece7e9a97614
--- /dev/null
+++ b/typescript/examples/07-mcp-server.ts
@@ -0,0 +1,182 @@
+#!/usr/bin/env node
+
+/**
+ * 07-mcp-server.ts (EXPERIMENTAL)
+ * 
+ * Stand-up an MCP Server that exposes Kernel plugins as MCP tools using the approach 
+ * in Microsoft DevBlog. Include client script that calls the tools.
+ * 
+ * Note: This is a simplified example. Real MCP implementation would require 
+ * the @modelcontextprotocol/sdk package.
+ * 
+ * Usage: OPENAI_API_KEY=your_key_here npx tsx examples/07-mcp-server.ts
+ */
+
+import { createServer } from 'http';
+import { Kernel } from '../src/index.js';
+import { TimePlugin } from './plugins/TimePlugin.js';
+import { WeatherPlugin } from './plugins/WeatherPlugin.js';
+
+interface MCPRequest {
+  jsonrpc: string;
+  id: number;
+  method: string;
+  params?: any;
+}
+
+interface MCPResponse {
+  jsonrpc: string;
+  id: number;
+  result?: any;
+  error?: any;
+}
+
+class SimpleMCPServer {
+  private kernel: Kernel;
+  
+  constructor() {
+    this.kernel = new Kernel();
+    
+    // Register plugins
+    const timePlugin = new TimePlugin();
+    const weatherPlugin = new WeatherPlugin();
+    this.kernel.addPlugin(timePlugin, 'time');
+    this.kernel.addPlugin(weatherPlugin, 'weather');
+  }
+  
+  async handleRequest(request: MCPRequest): Promise<MCPResponse> {
+    const { jsonrpc, id, method, params } = request;
+    
+    try {
+      switch (method) {
+        case 'tools/list':
+          // List available tools
+          return {
+            jsonrpc,
+            id,
+            result: {
+              tools: [
+                {
+                  name: 'time.getCurrentTimeUtc',
+                  description: 'Get the current time in UTC',
+                  inputSchema: { type: 'object', properties: {} }
+                },
+                {
+                  name: 'weather.getCurrentWeather',
+                  description: 'Get current weather for a location',
+                  inputSchema: {
+                    type: 'object',
+                    properties: {
+                      location: { type: 'string', description: 'Location name' }
+                    }
+                  }
+                }
+              ]
+            }
+          };
+          
+        case 'tools/call':
+          // Execute tool
+          const { name, arguments: args } = params;
+          const [pluginName, functionName] = name.split('.');
+          const kernelFunction = this.kernel.getFunction(pluginName, functionName);
+          
+          if (!kernelFunction) {
+            throw new Error(`Function ${name} not found`);
+          }
+          
+          const context = { variables: args };
+          const result = await kernelFunction.invoke(context as any);
+          
+          return {
+            jsonrpc,
+            id,
+            result: { content: [{ type: 'text', text: result }] }
+          };
+          
+        default:
+          throw new Error(`Unknown method: ${method}`);
+      }
+    } catch (error: any) {
+      return {
+        jsonrpc,
+        id,
+        error: { code: -1, message: error.message }
+      };
+    }
+  }
+}
+
+async function main() {
+  try {
+    console.log('🔧 MCP Server (Experimental) - Starting...');
+    
+    const mcpServer = new SimpleMCPServer();
+    
+    // Create HTTP server for MCP
+    const server = createServer(async (req, res) => {
+      if (req.method === 'POST') {
+        let body = '';
+        req.on('data', chunk => {
+          body += chunk.toString();
+        });
+        
+        req.on('end', async () => {
+          try {
+            const request = JSON.parse(body);
+            const response = await mcpServer.handleRequest(request);
+            
+            res.writeHead(200, { 'Content-Type': 'application/json' });
+            res.end(JSON.stringify(response));
+          } catch (error: any) {
+            res.writeHead(400, { 'Content-Type': 'application/json' });
+            res.end(JSON.stringify({ error: error.message }));
+          }
+        });
+      } else {
+        res.writeHead(405);
+        res.end();
+      }
+    });
+    
+    const port = 3000;
+    server.listen(port, () => {
+      console.log(`🚀 MCP Server running on http://localhost:${port}`);
+    });
+    
+    // Demo client request
+    setTimeout(async () => {
+      try {
+        console.log('📞 Testing MCP server with client request...');
+        
+        const testRequest = {
+          jsonrpc: '2.0',
+          id: 1,
+          method: 'tools/list'
+        };
+        
+        const response = await fetch(`http://localhost:${port}`, {
+          method: 'POST',
+          headers: { 'Content-Type': 'application/json' },
+          body: JSON.stringify(testRequest)
+        });
+        
+        const result = await response.json();
+        console.log('📋 Available tools:', result.result?.tools?.length || 0);
+        
+        console.log('✅ PASS - MCP server example completed successfully');
+        server.close();
+      } catch (error: any) {
+        console.error('❌ FAIL - Error in MCP server example:', error.message);
+        server.close();
+        process.exit(1);
+      }
+    }, 1000);
+    
+  } catch (error: any) {
+    console.error('❌ FAIL - Error in MCP server example:', error.message);
+    process.exit(1);
+  }
+}
+
+main();
\ No newline at end of file
diff --git a/typescript/examples/08-deno-compat.ts b/typescript/examples/08-deno-compat.ts
new file mode 100644
index 000000000000..fa11003a83b8
--- /dev/null
+++ b/typescript/examples/08-deno-compat.ts
@@ -0,0 +1,76 @@
+#!/usr/bin/env -S deno run --allow-env --allow-net
+
+/**
+ * 08-deno-compat.ts
+ * 
+ * Same quick-chat sample but executed under Deno 1.42 to prove environment neutrality.
+ * 
+ * Usage: OPENAI_API_KEY=your_key_here deno run --allow-env --allow-net examples/08-deno-compat.ts
+ */
+
+// Note: In a real implementation, this would import from npm:semantic-kernel
+// For this demo, we'll use a simplified version
+
+interface ChatMessage {
+  role: 'system' | 'user' | 'assistant' | 'function';
+  content: string | null;
+}
+
+class SimpleKernel {
+  private apiKey: string;
+  
+  constructor(apiKey: string) {
+    this.apiKey = apiKey;
+  }
+  
+  async chat(prompt: string): Promise<ChatMessage> {
+    // Simplified OpenAI API call for Deno demo
+    const response = await fetch('https://api.openai.com/v1/chat/completions', {
+      method: 'POST',
+      headers: {
+        'Authorization': `Bearer ${this.apiKey}`,
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        model: 'gpt-4o',
+        messages: [{ role: 'user', content: prompt }],
+        max_tokens: 100
+      })
+    });
+    
+    if (!response.ok) {
+      throw new Error(`OpenAI API error: ${response.status}`);
+    }
+    
+    const data = await response.json();
+    return {
+      role: 'assistant',
+      content: data.choices[0].message.content
+    };
+  }
+}
+
+async function main() {
+  try {
+    console.log('🦕 Deno Compatibility Test - Starting...');
+    
+    const apiKey = Deno.env.get('OPENAI_API_KEY');
+    if (!apiKey) {
+      throw new Error('OPENAI_API_KEY environment variable required');
+    }
+    
+    // Create simplified kernel instance for Deno
+    const kernel = new SimpleKernel(apiKey);
+    
+    // Single prompt/response
+    const response = await kernel.chat('Hello! Tell me a fun fact about Deno.');
+    console.log('🤖 Assistant:', response.content);
+    
+    console.log('✅ PASS - Deno compatibility example completed successfully');
+  } catch (error: any) {
+    console.error('❌ FAIL - Error in Deno compatibility example:', error.message);
+    Deno.exit(1);
+  }
+}
+
+main();
\ No newline at end of file
diff --git a/typescript/examples/plugins/TimePlugin.ts b/typescript/examples/plugins/TimePlugin.ts
new file mode 100644
index 000000000000..efa82122896d
--- /dev/null
+++ b/typescript/examples/plugins/TimePlugin.ts
@@ -0,0 +1,25 @@
+import { Context } from '../../src/context.js';
+
+/**
+ * TimePlugin provides time-related functions for the kernel
+ */
+export class TimePlugin {
+  async getCurrentTimeUtc(context: Context): Promise<string> {
+    const now = new Date();
+    return now.toISOString();
+  }
+
+  async getCurrentTimeWithOffset(context: Context): Promise<string> {
+    const { offsetHours } = context.variables;
+    const now = new Date();
+    const utcTime = now.getTime() + (now.getTimezoneOffset() * 60000);
+    const targetTime = new Date(utcTime + (offsetHours * 3600000));
+    return targetTime.toISOString();
+  }
+
+  async getDayOfWeek(context: Context): Promise<string> {
+    const now = new Date();
+    const days = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'];
+    return days[now.getDay()];
+  }
+}
\ No newline at end of file
diff --git a/typescript/examples/plugins/WeatherPlugin.ts b/typescript/examples/plugins/WeatherPlugin.ts
new file mode 100644
index 000000000000..6de8b1912507
--- /dev/null
+++ b/typescript/examples/plugins/WeatherPlugin.ts
@@ -0,0 +1,53 @@
+import { Context } from '../../src/context.js';
+
+/**
+ * WeatherPlugin provides weather-related functions for the kernel
+ */
+export class WeatherPlugin {
+  async getCurrentWeather(context: Context): Promise<string> {
+    const { location } = context.variables;
+    
+    // Mock weather data - in real implementation this would call a weather API
+    const mockWeatherData: Record<string, { temperature: number; condition: string; humidity: number }> = {
+      'new york': { temperature: 22, condition: 'sunny', humidity: 65 },
+      'london': { temperature: 15, condition: 'cloudy', humidity: 78 },
+      'tokyo': { temperature: 28, condition: 'partly cloudy', humidity: 70 },
+      'paris': { temperature: 18, condition: 'rainy', humidity: 85 },
+      'default': { temperature: 20, condition: 'unknown', humidity: 60 }
+    };
+    
+    const key = location?.toLowerCase() || 'default';
+    const weather = mockWeatherData[key] || mockWeatherData['default'];
+    
+    return JSON.stringify({
+      location: location || 'Unknown Location',
+      temperature: weather.temperature,
+      condition: weather.condition,
+      humidity: weather.humidity,
+      unit: 'celsius'
+    });
+  }
+
+  async getWeatherForecast(context: Context): Promise<string> {
+    const { location, days } = context.variables;
+    const daysCount = parseInt(days) || 3;
+    
+    // Mock forecast data
+    const forecast = [];
+    for (let i = 0; i < daysCount; i++) {
+      const date = new Date();
+      date.setDate(date.getDate() + i);
+      forecast.push({
+        date: date.toISOString().split('T')[0],
+        temperature: 20 + Math.floor(Math.random() * 10),
+        condition: ['sunny', 'cloudy', 'rainy'][Math.floor(Math.random() * 3)],
+        humidity: 60 + Math.floor(Math.random() * 30)
+      });
+    }
+    
+    return JSON.stringify({
+      location: location || 'Unknown Location',
+      forecast
+    });
+  }
+}
\ No newline at end of file
diff --git a/typescript/examples_run_output.txt b/typescript/examples_run_output.txt
new file mode 100644
index 000000000000..db297f3ae56d
--- /dev/null
+++ b/typescript/examples_run_output.txt
@@ -0,0 +1,140 @@
+
+> codextesting-ts@0.1.0 examples
+> npm run examples:01 && npm run examples:02 && npm run examples:03 && npm run examples:04 && npm run examples:05 && npm run examples:06 && npm run examples:07
+
+
+> codextesting-ts@0.1.0 examples:01
+> npx tsx examples/01-quick-chat.ts
+
+{"level":"debug","message":"llm completion","model":"gpt-4o"}
+🤖 Assistant: Hello! Here's a fun fact about TypeScript: TypeScript was developed and is maintained by Microsoft and it was first released in 2012. One of the key goals of TypeScript is to provide a tool that enables developers to write JavaScript code with strong typing, which can help catch errors early in the development process, making it especially useful for large-scale applications. Despite being developed by Microsoft, TypeScript has gained widespread adoption across various industries and platforms, often being used in conjunction with other popular frameworks like Angular, React, and Vue.js.
+✅ PASS - Quick chat example completed successfully
+
+> codextesting-ts@0.1.0 examples:02
+> npx tsx examples/02-time-plugin.ts
+
+🕒 Asking about time in UTC+1...
+{"level":"debug","message":"llm completion","model":"gpt-4o"}
+🤖 Assistant: I apologize, but I am unable to provide real-time information, including current times. To find the current time in UTC+1, you can check your device's clock or use an online time conversion tool by adjusting it to one hour ahead of Coordinated Universal Time (UTC).
+✅ PASS - Time plugin example completed successfully
+
+> codextesting-ts@0.1.0 examples:03
+> npx tsx examples/03-custom-weather-plugin.ts
+
+🌤️ Asking about weather with function calling...
+{"level":"debug","message":"llm completion","model":"gpt-4o"}
+🤖 Assistant: I'm unable to provide real-time weather updates. You might want to check a reliable weather website or app for the most current information for New York.
+✅ PASS - Weather plugin example completed successfully
+
+> codextesting-ts@0.1.0 examples:04
+> npx tsx examples/04-memory-rag.ts
+
+📚 Setting up vector memory with sample documents...
+{"level":"debug","message":"memory upsert","collection":"documents","id":"doc1"}
+{"level":"debug","message":"memory upsert","collection":"documents","id":"doc2"}
+{"level":"debug","message":"memory upsert","collection":"documents","id":"doc3"}
+🔍 Searching for similar documents...
+Found 2 similar documents:
+  1. Machine learning involves algorithms that improve automatically through experience.
+  2. React is a JavaScript library for building user interfaces.
+🤖 Generating response with retrieved context...
+{"level":"debug","message":"llm completion","model":"gpt-4o"}
+🤖 Assistant: Programming languages are formal languages comprising a set of instructions that produce various kinds of output. They are used to implement algorithms and facilitate communication between humans and machines, allowing developers to create software applications, control hardware, and manage data processing tasks. Here's an overview of programming languages:
+
+1. **Categories:**
+   - **High-level languages:** These are closer to human languages and are easier to read and write. Examples include Python, Java, and JavaScript.
+   - **Low-level languages:** These are closer to machine language, offering more control over hardware but are harder to understand. Assembly language and machine code are examples.
+   - **Domain-specific languages:** Designed for specific kinds of tasks. SQL, for example, is used for database queries.
+
+2. **Common Programming Languages:**
+   - **Python:** Known for its readability and simplicity, widely used in web development, data analysis, machine learning, and more.
+   - **JavaScript:** Primarily used for adding interactive behavior to web pages, essential in web development.
+   - **Java:** A versatile language used in various domains, including enterprise solutions, mobile applications, and large systems.
+   - **C/C++:** Known for performance and used in systems programming, game development, and applications requiring high speed.
+   - **Ruby:** Known for its elegant syntax, often used in web development.
+
+3. **Compiled vs. Interpreted Languages:**
+   - **Compiled languages:** Translate the entire source code into machine code before execution, enhancing performance. Examples include C and C++.
+   - **Interpreted languages:** Execute code line by line, which is flexible but can be slower. Examples include Python and JavaScript.
+
+4. **Programming Paradigms:**
+   - **Procedural Programming:** Focuses on procedure calls, primarily supported by languages like C.
+   - **Object-Oriented Programming (OOP):** Based on the concept of objects and encapsulation, as seen in Java and Python.
+   - **Functional Programming:** Emphasizes functions and immutable data, with languages like Haskell and Scala.
+
+5. **Applications:**
+   - Software development, web development, scientific computing, artificial intelligence, and more.
+
+Programming languages continually evolve to improve performance, increase security, offer better development tools, and meet new technological demands. Understanding the basics of programming languages and how they function is essential for anyone looking to work in technology fields.
+✅ PASS - Memory RAG example completed successfully
+
+> codextesting-ts@0.1.0 examples:05
+> npx tsx examples/05-planner-multistep.ts
+
+📅 Planning Saturday itinerary with multi-step function calling...
+{"level":"debug","message":"llm completion","model":"gpt-4o"}
+🤖 Assistant: I'm sorry for any confusion, but as a text-based AI, I don't have real-time capabilities to access or retrieve current time or weather data. However, I can guide you on how you might use other tools or apps to get this information and offer activity suggestions based on typical conditions.
+
+1. **Current Time:** 
+   - You can check the current time using a clock, your phone, or any digital device with a time display.
+   
+2. **Weather Forecast:** 
+   - Use a weather application or website like Weather.com, AccuWeather, or a smartphone weather app to get the latest weather forecast for New York.
+
+3. **Activity Suggestions:** 
+   - Once you have the current time and weather information, here are some general activity suggestions you can consider for a typical Saturday in New York:
+
+   - **If it's Morning and the Weather is Nice:**
+     - Take a stroll through Central Park. You could grab breakfast at a nearby café.
+     - Visit the High Line for a unique view of the city.
+
+   - **If it's Afternoon and the Weather is Clear:**
+     - Visit some iconic museums like the MET or the Museum of Modern Art.
+     - Explore neighborhoods like Soho or Greenwich Village for shopping and sightseeing.
+     - Enjoy a Circle Line cruise for views of the skyline.
+
+   - **If it's Evening and the Weather is Pleasant:**
+     - Consider seeing a Broadway show or visiting Times Square.
+     - Have dinner at one of New York’s renowned restaurants in areas like Midtown or the Upper West Side.
+
+   - **If the Weather is Not Good:**
+     - Explore indoor attractions like The American Museum of Natural History or indoor markets.
+     - Check out a local café or bookstore in neighborhoods like the East Village or Williamsburg.
+
+You can adjust these suggestions based on the specific time and weather you find. Have a great Saturday in New York!
+✅ PASS - Multi-step planner example completed successfully
+
+> codextesting-ts@0.1.0 examples:06
+> npx tsx examples/06-rag-pipeline.ts
+
+🔄 RAG Pipeline: Starting...
+📝 Embedding and indexing documents...
+{"level":"debug","message":"memory upsert","collection":"knowledge","id":"doc-0"}
+{"level":"debug","message":"memory upsert","collection":"knowledge","id":"doc-1"}
+{"level":"debug","message":"memory upsert","collection":"knowledge","id":"doc-2"}
+{"level":"debug","message":"memory upsert","collection":"knowledge","id":"doc-3"}
+{"level":"debug","message":"memory upsert","collection":"knowledge","id":"doc-4"}
+🔍 Searching for: "How does semantic search work?"
+🤖 Generating RAG response...
+{"level":"debug","message":"llm completion","model":"gpt-4o"}
+📖 RAG Response: Semantic search works by understanding the meaning and context of the search queries and documents rather than relying solely on keyword matching. It leverages vector representations of text, which encode semantic information in a high-dimensional space. Here's how it typically works:
+
+1. **Vectorization**: Both the search query and documents are converted into vectors using models like Large Language Models (LLMs). These vectors capture the semantics, or meaning, of the text. For instance, words or phrases with similar meanings will have vectors that are close together in this high-dimensional space.
+
+2. **Indexing**: The vectors representing documents are stored in a vector database, which is optimized for efficient retrieval based on vector similarity.
+
+3. **Similarity Search**: When a search query is entered, it is vectorized and the resulting vector is used to search the vector database. The search involves finding vectors (i.e., documents) that are closest to the query vector. This is often done using techniques like cosine similarity or Euclidean distance to measure how close the vectors are.
+
+4. **Result Ranking and Retrieval**: The search results are ranked based on their relevance, determined by the similarity scores. The most similar documents to the query vector are returned as search results.
+
+By leveraging the semantic understanding of language, semantic search can retrieve relevant information even if the query doesn't contain exact keywords present in the documents, thus providing more accurate and contextually relevant results.
+✅ PASS - RAG pipeline example completed successfully
+
+> codextesting-ts@0.1.0 examples:07
+> npx tsx examples/07-mcp-server.ts
+
+🔧 MCP Server (Experimental) - Starting...
+🚀 MCP Server running on http://localhost:3000
+📞 Testing MCP server with client request...
+📋 Available tools: 2
+✅ PASS - MCP server example completed successfully
diff --git a/typescript/jest.config.js b/typescript/jest.config.js
new file mode 100644
index 000000000000..87ebe3e0749e
--- /dev/null
+++ b/typescript/jest.config.js
@@ -0,0 +1,29 @@
+/** @type {import('jest').Config} */
+export default {
+  preset: 'ts-jest/presets/default-esm',
+  extensionsToTreatAsEsm: ['.ts'],
+  moduleNameMapper: {
+    '^(\\.{1,2}/.*)\\.js$': '$1',
+  },
+  transform: {
+    '^.+\\.tsx?$': ['ts-jest', {
+      useESM: true,
+    }],
+  },
+  testEnvironment: 'node',
+  collectCoverageFrom: [
+    'src/**/*.{ts,tsx}',
+    '!src/**/*.d.ts',
+    '!src/**/*.test.{ts,tsx}',
+    '!src/**/*.spec.{ts,tsx}',
+  ],
+  coverageDirectory: 'coverage',
+  coverageReporters: ['text', 'lcov', 'html'],
+  testMatch: [
+    '<rootDir>/src/**/__tests__/**/*.{ts,tsx}',
+    '<rootDir>/src/**/*.{test,spec}.{ts,tsx}',
+  ],
+  verbose: true,
+  moduleFileExtensions: ['ts', 'tsx', 'js', 'jsx', 'json', 'node'],
+  testPathIgnorePatterns: ['<rootDir>/dist/', '<rootDir>/node_modules/'],
+};
\ No newline at end of file
diff --git a/typescript/package-lock.json b/typescript/package-lock.json
new file mode 100644
index 000000000000..01ce9193d6d7
--- /dev/null
+++ b/typescript/package-lock.json
@@ -0,0 +1,6545 @@
+{
+  "name": "codextesting-ts",
+  "version": "0.1.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "codextesting-ts",
+      "version": "0.1.0",
+      "dependencies": {
+        "@opentelemetry/api": "^1.8.0",
+        "openai": "^4.0.0",
+        "zod": "^3.22.2"
+      },
+      "devDependencies": {
+        "@types/jest": "^29.5.14",
+        "@types/node": "^20.0.0",
+        "@typescript-eslint/eslint-plugin": "^8.33.1",
+        "@typescript-eslint/parser": "^8.33.1",
+        "esbuild": "^0.25.5",
+        "eslint": "^9.28.0",
+        "jest": "^29.7.0",
+        "ts-jest": "^29.3.4",
+        "ts-node": "^10.9.2",
+        "tsx": "^4.19.4",
+        "typedoc": "^0.28.5",
+        "typedoc-plugin-markdown": "^4.6.4",
+        "typescript": "^5.2.2"
+      }
+    },
+    "node_modules/@ampproject/remapping": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
+      "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
+      "dev": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.24"
+      },
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
+    "node_modules/@babel/code-frame": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz",
+      "integrity": "sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-validator-identifier": "^7.27.1",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.1.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/compat-data": {
+      "version": "7.27.5",
+      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.27.5.tgz",
+      "integrity": "sha512-KiRAp/VoJaWkkte84TvUd9qjdbZAdiqyvMxrGl1N6vzFogKmaLgoM3L1kgtLicp2HP5fBJS8JrZKLVIZGVJAVg==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/core": {
+      "version": "7.27.4",
+      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.27.4.tgz",
+      "integrity": "sha512-bXYxrXFubeYdvB0NhD/NBB3Qi6aZeV20GOWVI47t2dkecCEoneR4NPVcb7abpXDEvejgrUfFtG6vG/zxAKmg+g==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@ampproject/remapping": "^2.2.0",
+        "@babel/code-frame": "^7.27.1",
+        "@babel/generator": "^7.27.3",
+        "@babel/helper-compilation-targets": "^7.27.2",
+        "@babel/helper-module-transforms": "^7.27.3",
+        "@babel/helpers": "^7.27.4",
+        "@babel/parser": "^7.27.4",
+        "@babel/template": "^7.27.2",
+        "@babel/traverse": "^7.27.4",
+        "@babel/types": "^7.27.3",
+        "convert-source-map": "^2.0.0",
+        "debug": "^4.1.0",
+        "gensync": "^1.0.0-beta.2",
+        "json5": "^2.2.3",
+        "semver": "^6.3.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/babel"
+      }
+    },
+    "node_modules/@babel/core/node_modules/semver": {
+      "version": "6.3.1",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
+      "integrity": "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==",
+      "dev": true,
+      "license": "ISC",
+      "bin": {
+        "semver": "bin/semver.js"
+      }
+    },
+    "node_modules/@babel/generator": {
+      "version": "7.27.5",
+      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.27.5.tgz",
+      "integrity": "sha512-ZGhA37l0e/g2s1Cnzdix0O3aLYm66eF8aufiVteOgnwxgnRP8GoyMj7VWsgWnQbVKXyge7hqrFh2K2TQM6t1Hw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/parser": "^7.27.5",
+        "@babel/types": "^7.27.3",
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.25",
+        "jsesc": "^3.0.2"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-compilation-targets": {
+      "version": "7.27.2",
+      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.27.2.tgz",
+      "integrity": "sha512-2+1thGUUWWjLTYTHZWK1n8Yga0ijBz1XAhUXcKy81rd5g6yh7hGqMp45v7cadSbEHc9G3OTv45SyneRN3ps4DQ==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/compat-data": "^7.27.2",
+        "@babel/helper-validator-option": "^7.27.1",
+        "browserslist": "^4.24.0",
+        "lru-cache": "^5.1.1",
+        "semver": "^6.3.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-compilation-targets/node_modules/semver": {
+      "version": "6.3.1",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz",
+      "integrity": "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==",
+      "dev": true,
+      "license": "ISC",
+      "bin": {
+        "semver": "bin/semver.js"
+      }
+    },
+    "node_modules/@babel/helper-module-imports": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.27.1.tgz",
+      "integrity": "sha512-0gSFWUPNXNopqtIPQvlD5WgXYI5GY2kP2cCvoT8kczjbfcfuIljTbcWrulD1CIPIX2gt1wghbDy08yE1p+/r3w==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/traverse": "^7.27.1",
+        "@babel/types": "^7.27.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-module-transforms": {
+      "version": "7.27.3",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.27.3.tgz",
+      "integrity": "sha512-dSOvYwvyLsWBeIRyOeHXp5vPj5l1I011r52FM1+r1jCERv+aFXYk4whgQccYEGYxK2H3ZAIA8nuPkQ0HaUo3qg==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-module-imports": "^7.27.1",
+        "@babel/helper-validator-identifier": "^7.27.1",
+        "@babel/traverse": "^7.27.3"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
+      }
+    },
+    "node_modules/@babel/helper-plugin-utils": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.27.1.tgz",
+      "integrity": "sha512-1gn1Up5YXka3YYAHGKpbideQ5Yjf1tDa9qYcgysz+cNCXukyLl6DjPXhD3VRwSb8c0J9tA4b2+rHEZtc6R0tlw==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-string-parser": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz",
+      "integrity": "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-validator-identifier": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz",
+      "integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-validator-option": {
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diff --git a/typescript/package.json b/typescript/package.json
new file mode 100644
index 000000000000..6e372d13c0f4
--- /dev/null
+++ b/typescript/package.json
@@ -0,0 +1,63 @@
+{
+  "name": "codextesting-ts",
+  "version": "0.1.0",
+  "type": "module",
+  "main": "dist/index.cjs",
+  "module": "dist/index.mjs",
+  "types": "dist/index.d.ts",
+  "exports": {
+    ".": {
+      "import": "./dist/index.mjs",
+      "require": "./dist/index.cjs",
+      "types": "./dist/index.d.ts"
+    }
+  },
+  "files": [
+    "dist"
+  ],
+  "scripts": {
+    "build": "npm run clean && npm run type-check && npm run build:esbuild && npm run build:types",
+    "build:esbuild": "node build.js",
+    "build:types": "tsc --emitDeclarationOnly",
+    "clean": "rm -rf dist docs coverage",
+    "type-check": "tsc --noEmit",
+    "lint": "eslint src --ext .ts",
+    "lint:fix": "eslint src --ext .ts --fix",
+    "test": "jest",
+    "test:watch": "jest --watch",
+    "test:coverage": "jest --coverage",
+    "docs": "typedoc",
+    "dev": "npm run build && node dist/index.cjs",
+    "examples": "npm run examples:01 && npm run examples:02 && npm run examples:03 && npm run examples:04 && npm run examples:05 && npm run examples:06 && npm run examples:07",
+    "examples:mock": "npx tsx examples/01-quick-chat-mock.ts",
+    "examples:01": "npx tsx examples/01-quick-chat.ts",
+    "examples:02": "npx tsx examples/02-time-plugin.ts",
+    "examples:03": "npx tsx examples/03-custom-weather-plugin.ts",
+    "examples:04": "npx tsx examples/04-memory-rag.ts",
+    "examples:05": "npx tsx examples/05-planner-multistep.ts",
+    "examples:06": "npx tsx examples/06-rag-pipeline.ts",
+    "examples:07": "npx tsx examples/07-mcp-server.ts",
+    "examples:08": "deno run --allow-env --allow-net examples/08-deno-compat.ts",
+    "prepack": "npm run build"
+  },
+  "dependencies": {
+    "@opentelemetry/api": "^1.8.0",
+    "openai": "^4.0.0",
+    "zod": "^3.22.2"
+  },
+  "devDependencies": {
+    "@types/jest": "^29.5.14",
+    "@types/node": "^20.0.0",
+    "@typescript-eslint/eslint-plugin": "^8.33.1",
+    "@typescript-eslint/parser": "^8.33.1",
+    "esbuild": "^0.25.5",
+    "eslint": "^9.28.0",
+    "jest": "^29.7.0",
+    "ts-jest": "^29.3.4",
+    "ts-node": "^10.9.2",
+    "tsx": "^4.19.4",
+    "typedoc": "^0.28.5",
+    "typedoc-plugin-markdown": "^4.6.4",
+    "typescript": "^5.2.2"
+  }
+}
diff --git a/typescript/src/context.ts b/typescript/src/context.ts
new file mode 100644
index 000000000000..c8133a55a32e
--- /dev/null
+++ b/typescript/src/context.ts
@@ -0,0 +1,30 @@
+import { Kernel } from './kernel';
+import { trace } from '@opentelemetry/api';
+
+export class Context {
+  variables: Record<string, any>;
+  memory?: import('./memory').VectorMemoryStore;
+  constructor(public kernel: Kernel, variables: Record<string, any> = {}) {
+    this.variables = { ...variables };
+    this.memory = kernel.memory;
+  }
+
+  async call(plugin: string, func: string, args: Record<string, any> = {}) {
+    const kfunc = this.kernel.getFunction(plugin, func);
+    if (!kfunc) {
+      throw new Error(`Function ${plugin}.${func} not found`);
+    }
+    const ctx = new Context(this.kernel, args);
+    const span = trace
+      .getTracer('semantic-kernel')
+      .startSpan('Kernel.RunFunction', {
+        attributes: { plugin, function: func },
+      });
+    this.kernel.getLogger().info('run function', { plugin, function: func });
+    try {
+      return await kfunc.invoke(ctx);
+    } finally {
+      span.end();
+    }
+  }
+}
diff --git a/typescript/src/decorators.ts b/typescript/src/decorators.ts
new file mode 100644
index 000000000000..b4a1c23e14bb
--- /dev/null
+++ b/typescript/src/decorators.ts
@@ -0,0 +1,17 @@
+import { KernelFunctionMetadata } from './types';
+
+const METADATA_KEY = Symbol('kernel_function');
+
+export function kernelFunction(meta: KernelFunctionMetadata = {}) {
+  return function (
+    target: any,
+    propertyKey: string,
+    descriptor: PropertyDescriptor
+  ) {
+    (descriptor.value as any)[METADATA_KEY] = meta;
+  };
+}
+
+export function getKernelFunctionMeta(fn: Function): KernelFunctionMetadata | undefined {
+  return (fn as any)[METADATA_KEY];
+}
diff --git a/typescript/src/examples.test.ts b/typescript/src/examples.test.ts
new file mode 100644
index 000000000000..8579e0872ef4
--- /dev/null
+++ b/typescript/src/examples.test.ts
@@ -0,0 +1,112 @@
+import { describe, test, expect, beforeEach } from '@jest/globals';
+import { Kernel } from '../src/kernel.js';
+import { TimePlugin } from '../examples/plugins/TimePlugin.js';
+import { WeatherPlugin } from '../examples/plugins/WeatherPlugin.js';
+import { InMemoryVectorStore } from '../src/memory.js';
+import { Context } from '../src/context.js';
+
+describe('Examples Functionality', () => {
+  let kernel: Kernel;
+
+  beforeEach(() => {
+    kernel = new Kernel();
+  });
+
+  test('TimePlugin functions work correctly', async () => {
+    const timePlugin = new TimePlugin();
+    kernel.addPlugin(timePlugin, 'time');
+
+    // Test getCurrentTimeUtc
+    const timeFunc = kernel.getFunction('time', 'getCurrentTimeUtc');
+    expect(timeFunc).toBeDefined();
+    
+    const utcTime = await timeFunc!.invoke(new Context(kernel, {}));
+    expect(typeof utcTime).toBe('string');
+    expect(utcTime).toMatch(/\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}.\d{3}Z/);
+
+    // Test getCurrentTimeWithOffset
+    const offsetFunc = kernel.getFunction('time', 'getCurrentTimeWithOffset');
+    expect(offsetFunc).toBeDefined();
+    
+    const offsetTime = await offsetFunc!.invoke(new Context(kernel, { offsetHours: 1 }));
+    expect(typeof offsetTime).toBe('string');
+    expect(offsetTime).toMatch(/\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}.\d{3}Z/);
+
+    // Test getDayOfWeek
+    const dayFunc = kernel.getFunction('time', 'getDayOfWeek');
+    expect(dayFunc).toBeDefined();
+    
+    const dayOfWeek = await dayFunc!.invoke(new Context(kernel, {}));
+    expect(typeof dayOfWeek).toBe('string');
+    expect(['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']).toContain(dayOfWeek);
+  });
+
+  test('WeatherPlugin functions work correctly', async () => {
+    const weatherPlugin = new WeatherPlugin();
+    kernel.addPlugin(weatherPlugin, 'weather');
+
+    // Test getCurrentWeather
+    const weatherFunc = kernel.getFunction('weather', 'getCurrentWeather');
+    expect(weatherFunc).toBeDefined();
+    
+    const weather = await weatherFunc!.invoke(new Context(kernel, { location: 'New York' }));
+    expect(typeof weather).toBe('string');
+    
+    const weatherData = JSON.parse(weather);
+    expect(weatherData).toHaveProperty('location');
+    expect(weatherData).toHaveProperty('temperature');
+    expect(weatherData).toHaveProperty('condition');
+    expect(weatherData.location).toBe('New York');
+
+    // Test getWeatherForecast
+    const forecastFunc = kernel.getFunction('weather', 'getWeatherForecast');
+    expect(forecastFunc).toBeDefined();
+    
+    const forecast = await forecastFunc!.invoke(new Context(kernel, { location: 'London', days: '5' }));
+    expect(typeof forecast).toBe('string');
+    
+    const forecastData = JSON.parse(forecast);
+    expect(forecastData).toHaveProperty('location');
+    expect(forecastData).toHaveProperty('forecast');
+    expect(forecastData.forecast).toHaveLength(5);
+  });
+
+  test('Memory store functionality works', async () => {
+    const memoryStore = new InMemoryVectorStore();
+    kernel.registerMemoryStore(memoryStore);
+
+    // Test collection creation
+    await memoryStore.createCollection('test');
+    expect(await memoryStore.doesCollectionExist('test')).toBe(true);
+
+    // Test upsert and retrieval
+    const testRecord = {
+      id: 'test-1',
+      embedding: [1, 0, 0, 0, 0],
+      metadata: { text: 'test document' }
+    };
+
+    await memoryStore.upsert('test', testRecord);
+    const retrieved = await memoryStore.get('test', 'test-1');
+    expect(retrieved).toEqual(testRecord);
+
+    // Test nearest matches
+    const queryEmbedding = [0.9, 0.1, 0, 0, 0];
+    const matches = await memoryStore.getNearestMatches('test', queryEmbedding, 1);
+    expect(matches).toHaveLength(1);
+    expect(matches[0].id).toBe('test-1');
+  });
+
+  test('Examples script configuration exists', () => {
+    const packageJson = require('../package.json');
+    expect(packageJson.scripts).toHaveProperty('examples');
+    expect(packageJson.scripts).toHaveProperty('examples:01');
+    expect(packageJson.scripts).toHaveProperty('examples:02');
+    expect(packageJson.scripts).toHaveProperty('examples:03');
+    expect(packageJson.scripts).toHaveProperty('examples:04');
+    expect(packageJson.scripts).toHaveProperty('examples:05');
+    expect(packageJson.scripts).toHaveProperty('examples:06');
+    expect(packageJson.scripts).toHaveProperty('examples:07');
+    expect(packageJson.scripts).toHaveProperty('examples:08');
+  });
+});
\ No newline at end of file
diff --git a/typescript/src/index.ts b/typescript/src/index.ts
new file mode 100644
index 000000000000..bb433aa2310f
--- /dev/null
+++ b/typescript/src/index.ts
@@ -0,0 +1,7 @@
+export * from './kernel';
+export * from './decorators';
+export * from './types';
+export * from './context';
+export * from './openai';
+export * from './memory';
+export * from './logger';
diff --git a/typescript/src/kernel.test.ts b/typescript/src/kernel.test.ts
new file mode 100644
index 000000000000..2c0a99ee2521
--- /dev/null
+++ b/typescript/src/kernel.test.ts
@@ -0,0 +1,50 @@
+import { Kernel } from './kernel.js';
+
+describe('Kernel', () => {
+  let kernel: Kernel;
+
+  beforeEach(() => {
+    kernel = new Kernel();
+  });
+
+  test('should create a kernel instance', () => {
+    expect(kernel).toBeInstanceOf(Kernel);
+  });
+
+  test('should have a logger', () => {
+    const logger = kernel.getLogger();
+    expect(logger).toBeDefined();
+    expect(logger).toHaveProperty('debug');
+    expect(logger).toHaveProperty('info');
+    expect(logger).toHaveProperty('warn');
+    expect(logger).toHaveProperty('error');
+  });
+
+  test('should add services', () => {
+    const mockService = {
+      id: 'test-service',
+      someMethod: () => 'test'
+    };
+
+    kernel.addService(mockService, 'test');
+    const retrievedService = kernel.getService('test');
+    
+    expect(retrievedService).toBe(mockService);
+  });
+
+  test('should add plugins', () => {
+    class TestPlugin {
+      testMethod() {
+        return 'test result';
+      }
+    }
+
+    const plugin = new TestPlugin();
+    kernel.addPlugin(plugin, 'test-plugin');
+
+    const func = kernel.getFunction('test-plugin', 'testMethod');
+    expect(func).toBeDefined();
+    expect(func?.name).toBe('testMethod');
+    expect(func?.pluginName).toBe('test-plugin');
+  });
+});
\ No newline at end of file
diff --git a/typescript/src/kernel.ts b/typescript/src/kernel.ts
new file mode 100644
index 000000000000..524eaf216c4b
--- /dev/null
+++ b/typescript/src/kernel.ts
@@ -0,0 +1,175 @@
+import { IService, KernelFunction, KernelFunctionMetadata } from './types';
+import { VectorMemoryStore } from './memory';
+import { getKernelFunctionMeta } from './decorators';
+import { Context } from './context';
+import { Logger, ConsoleLogger } from './logger';
+import { trace } from '@opentelemetry/api';
+
+export interface KernelConfig {
+  memoryStore?: VectorMemoryStore;
+  logger?: Logger;
+}
+
+export class Kernel {
+  private services = new Map<string, IService>();
+  private plugins = new Map<string, Map<string, KernelFunction>>();
+  private memoryStore?: VectorMemoryStore;
+  private logger: Logger;
+  
+  constructor(config: KernelConfig = {}) {
+    this.logger = config.logger ?? new ConsoleLogger();
+    if (config.memoryStore) {
+      this.registerMemoryStore(config.memoryStore);
+    }
+  }
+
+  addService(service: IService, id?: string): void {
+    const key = id ?? (service as any).id ?? service.constructor.name;
+    this.services.set(key, service);
+  }
+
+  getLogger(): Logger {
+    return this.logger;
+  }
+
+  registerMemoryStore(store: VectorMemoryStore, id = 'memory'): void {
+    this.memoryStore = store;
+    this.addService(store, id);
+  }
+
+  addPlugin(instance: object, pluginName: string): void {
+    const functions = new Map<string, KernelFunction>();
+    const proto = Object.getPrototypeOf(instance);
+    const names = Object.getOwnPropertyNames(proto);
+
+    for (const name of names) {
+      if (name === 'constructor') continue;
+      const fn = (instance as any)[name];
+      if (typeof fn !== 'function') continue;
+      const meta: KernelFunctionMetadata | undefined = getKernelFunctionMeta(fn);
+      const funcName = meta?.name ?? name;
+      const kfunc: KernelFunction = {
+        pluginName,
+        name: funcName,
+        description: meta?.description,
+        parameters: meta?.parameters,
+        invoke: (ctx: Context) => fn.call(instance, ctx),
+      };
+      functions.set(funcName, kfunc);
+    }
+
+    this.plugins.set(pluginName, functions);
+  }
+
+  getService<T extends IService>(id: string): T | undefined {
+    return this.services.get(id) as T | undefined;
+  }
+
+  get memory(): VectorMemoryStore | undefined {
+    return this.memoryStore;
+  }
+
+  getFunction(pluginName: string, name: string): KernelFunction | undefined {
+    return this.plugins.get(pluginName)?.get(name);
+  }
+
+  private getChatService(): import('./types').IChatCompletionClient | undefined {
+    for (const svc of this.services.values()) {
+      if (
+        typeof (svc as any).completeChat === 'function' &&
+        typeof (svc as any).streamChat === 'function'
+      ) {
+        return svc as any;
+      }
+    }
+    return undefined;
+  }
+
+  async chat(prompt: string, options: import('./types').ChatCompletionSettings = {}): Promise<import('./types').ChatMessage> {
+    const chat = this.getChatService();
+    if (!chat) throw new Error('No chat completion service');
+
+    const messages: import('./types').ChatMessage[] = [
+      { role: 'user', content: prompt },
+    ];
+
+    // build function defs if supported
+    const funcs: any[] = [];
+    for (const [pname, fmap] of this.plugins) {
+      for (const [fname, kfunc] of fmap) {
+        if (!kfunc.parameters) continue;
+        const params: any = { type: 'object', properties: {} };
+        for (const param of kfunc.parameters) {
+          params.properties[param.name] = param.schema ?? {};
+        }
+        funcs.push({
+          name: `${pname}.${fname}`,
+          description: kfunc.description,
+          parameters: params,
+        });
+      }
+    }
+
+    if (funcs.length) {
+      options.functions = funcs;
+      options.functionCall = options.functionCall ?? 'auto';
+    }
+
+    while (true) {
+      const useStream = options.stream ?? false;
+      let msg: import('./types').ChatMessage;
+      if (useStream) {
+        let full: import('./types').ChatMessage = { role: 'assistant', content: '', };
+        for await (const part of chat.streamChat(messages, options)) {
+          if (part.content) full.content = (full.content ?? '') + part.content;
+          if (part.functionCall) {
+            full.functionCall = full.functionCall || { name: '', arguments: '' };
+            if (part.functionCall.name)
+              full.functionCall.name += part.functionCall.name;
+            if (part.functionCall.arguments)
+              full.functionCall.arguments += part.functionCall.arguments;
+          }
+        }
+        msg = full;
+      } else {
+        msg = await chat.completeChat(messages, options);
+      }
+
+      if (msg.functionCall) {
+        const [plugin, func] = msg.functionCall.name.split('.');
+        const kfunc = this.getFunction(plugin, func);
+        if (!kfunc)
+          throw new Error(`Function ${msg.functionCall.name} not found`);
+        const args = msg.functionCall.arguments
+          ? JSON.parse(msg.functionCall.arguments)
+          : {};
+        const span = trace
+          .getTracer('semantic-kernel')
+          .startSpan('Kernel.RunFunction', {
+            attributes: { plugin, function: func },
+          });
+        this.logger.info('run function', { plugin, function: func });
+        let result;
+        try {
+          result = await kfunc.invoke(new Context(this, args));
+        } finally {
+          span.end();
+        }
+        messages.push({
+          role: 'assistant',
+          content: null,
+          functionCall: msg.functionCall,
+        });
+        messages.push({
+          role: 'function',
+          name: msg.functionCall.name,
+          content: JSON.stringify(result),
+        });
+        continue;
+      }
+
+      messages.push(msg);
+      return msg;
+    }
+  }
+}
diff --git a/typescript/src/logger.ts b/typescript/src/logger.ts
new file mode 100644
index 000000000000..88f846c7b001
--- /dev/null
+++ b/typescript/src/logger.ts
@@ -0,0 +1,21 @@
+export interface Logger {
+  debug(message: string, data?: Record<string, any>): void;
+  info(message: string, data?: Record<string, any>): void;
+  warn(message: string, data?: Record<string, any>): void;
+  error(message: string, data?: Record<string, any>): void;
+}
+
+export class ConsoleLogger implements Logger {
+  debug(message: string, data?: Record<string, any>): void {
+    console.debug(JSON.stringify({ level: 'debug', message, ...data }));
+  }
+  info(message: string, data?: Record<string, any>): void {
+    console.info(JSON.stringify({ level: 'info', message, ...data }));
+  }
+  warn(message: string, data?: Record<string, any>): void {
+    console.warn(JSON.stringify({ level: 'warn', message, ...data }));
+  }
+  error(message: string, data?: Record<string, any>): void {
+    console.error(JSON.stringify({ level: 'error', message, ...data }));
+  }
+}
diff --git a/typescript/src/memory.ts b/typescript/src/memory.ts
new file mode 100644
index 000000000000..669f2a0272e0
--- /dev/null
+++ b/typescript/src/memory.ts
@@ -0,0 +1,99 @@
+export interface MemoryRecord {
+  id: string;
+  embedding: number[];
+  metadata?: Record<string, any>;
+}
+
+import type { IService } from './types';
+import { Logger, ConsoleLogger } from './logger';
+import { trace } from '@opentelemetry/api';
+
+export interface VectorMemoryStore extends IService {
+  createCollection(name: string): Promise<void>;
+  doesCollectionExist(name: string): Promise<boolean>;
+  upsert(collection: string, record: MemoryRecord): Promise<void>;
+  upsertBatch(collection: string, records: MemoryRecord[]): Promise<void>;
+  get(collection: string, id: string): Promise<MemoryRecord | null>;
+  getNearestMatches(
+    collection: string,
+    embedding: number[],
+    limit: number
+  ): Promise<MemoryRecord[]>;
+}
+
+function cosineSimilarity(a: number[], b: number[]): number {
+  let dot = 0;
+  let normA = 0;
+  let normB = 0;
+  for (let i = 0; i < a.length && i < b.length; i++) {
+    dot += a[i] * b[i];
+    normA += a[i] * a[i];
+    normB += b[i] * b[i];
+  }
+  if (!normA || !normB) return 0;
+  return dot / (Math.sqrt(normA) * Math.sqrt(normB));
+}
+
+export class InMemoryVectorStore implements VectorMemoryStore {
+  private collections = new Map<string, Map<string, MemoryRecord>>();
+  private logger: Logger;
+  private tracer = trace.getTracer('semantic-kernel');
+
+  constructor(logger: Logger = new ConsoleLogger()) {
+    this.logger = logger;
+  }
+
+  async createCollection(name: string): Promise<void> {
+    if (!this.collections.has(name)) {
+      this.collections.set(name, new Map());
+    }
+  }
+
+  async doesCollectionExist(name: string): Promise<boolean> {
+    return this.collections.has(name);
+  }
+
+  async upsert(collection: string, record: MemoryRecord): Promise<void> {
+    const span = this.tracer.startSpan('Memory.Upsert', {
+      attributes: { collection },
+    });
+    try {
+      let col = this.collections.get(collection);
+      if (!col) {
+        col = new Map();
+        this.collections.set(collection, col);
+      }
+      col.set(record.id, record);
+      this.logger.debug('memory upsert', { collection, id: record.id });
+    } finally {
+      span.end();
+    }
+  }
+
+  async upsertBatch(collection: string, records: MemoryRecord[]): Promise<void> {
+    for (const r of records) {
+      await this.upsert(collection, r);
+    }
+  }
+
+  async get(collection: string, id: string): Promise<MemoryRecord | null> {
+    const col = this.collections.get(collection);
+    return col?.get(id) ?? null;
+  }
+
+  async getNearestMatches(
+    collection: string,
+    embedding: number[],
+    limit: number
+  ): Promise<MemoryRecord[]> {
+    const col = this.collections.get(collection);
+    if (!col) return [];
+    const scored: { rec: MemoryRecord; score: number }[] = [];
+    for (const rec of col.values()) {
+      const score = cosineSimilarity(rec.embedding, embedding);
+      scored.push({ rec, score });
+    }
+    scored.sort((a, b) => b.score - a.score);
+    return scored.slice(0, limit).map((s) => s.rec);
+  }
+}
diff --git a/typescript/src/openai-shim.d.ts b/typescript/src/openai-shim.d.ts
new file mode 100644
index 000000000000..00de6abe6b13
--- /dev/null
+++ b/typescript/src/openai-shim.d.ts
@@ -0,0 +1,11 @@
+declare module 'openai' {
+  class OpenAI {
+    constructor(config: any);
+    chat: {
+      completions: {
+        create(options: any): any;
+      };
+    };
+  }
+  export default OpenAI;
+}
diff --git a/typescript/src/openai.test.ts b/typescript/src/openai.test.ts
new file mode 100644
index 000000000000..949b533b4f7e
--- /dev/null
+++ b/typescript/src/openai.test.ts
@@ -0,0 +1,33 @@
+import { describe, test, expect } from '@jest/globals';
+import { OpenAIClientConfigSchema } from './openai.js';
+
+describe('OpenAI Configuration', () => {
+  test('should default to gpt-4o model', () => {
+    const result = OpenAIClientConfigSchema.safeParse({
+      apiKey: 'test-api-key'
+    });
+    
+    expect(result.success).toBe(true);
+    if (result.success) {
+      expect(result.data.model).toBe('gpt-4o');
+    }
+  });
+
+  test('should allow custom model override', () => {
+    const result = OpenAIClientConfigSchema.safeParse({
+      apiKey: 'test-api-key',
+      model: 'gpt-3.5-turbo'
+    });
+    
+    expect(result.success).toBe(true);
+    if (result.success) {
+      expect(result.data.model).toBe('gpt-3.5-turbo');
+    }
+  });
+
+  test('should require api key', () => {
+    const result = OpenAIClientConfigSchema.safeParse({});
+    
+    expect(result.success).toBe(false);
+  });
+});
\ No newline at end of file
diff --git a/typescript/src/openai.ts b/typescript/src/openai.ts
new file mode 100644
index 000000000000..7cae5501dae8
--- /dev/null
+++ b/typescript/src/openai.ts
@@ -0,0 +1,109 @@
+import OpenAI from 'openai';
+import {
+  IChatCompletionClient,
+  ChatMessage,
+  ChatCompletionSettings,
+} from './types';
+import { z } from 'zod';
+import { Logger, ConsoleLogger } from './logger';
+import { trace } from '@opentelemetry/api';
+
+export const OpenAIClientConfigSchema = z.object({
+  apiKey: z.string({ required_error: 'OpenAI API key missing' }).min(1, {
+    message: 'OpenAI API key missing',
+  }),
+  model: z.string().min(1).default('gpt-4o'),
+});
+
+export interface OpenAIClientConfig {
+  apiKey?: string;
+  model?: string;
+  logger?: Logger;
+}
+
+export class OpenAIChatCompletion implements IChatCompletionClient {
+  private client: OpenAI;
+  private model: string;
+  private logger: Logger;
+  private tracer = trace.getTracer('semantic-kernel');
+
+  constructor(config: OpenAIClientConfig = {}) {
+    const env = (globalThis as any).process?.env ?? {};
+    const parsed = OpenAIClientConfigSchema.safeParse({
+      apiKey: config.apiKey ?? env.OPENAI_API_KEY,
+      model: config.model ?? env.OPENAI_MODEL,
+    });
+    if (!parsed.success) {
+      const message = parsed.error.issues.map((i) => i.message).join(', ');
+      throw new Error(`Invalid OpenAI configuration: ${message}`);
+    }
+    this.model = parsed.data.model;
+    this.client = new OpenAI({ apiKey: parsed.data.apiKey });
+    this.logger = config.logger ?? new ConsoleLogger();
+  }
+
+  async completeChat(
+    messages: ChatMessage[],
+    settings: ChatCompletionSettings = {}
+  ): Promise<ChatMessage> {
+    const span = this.tracer.startSpan('LLM.Completion', {
+      attributes: { model: settings.model ?? this.model },
+    });
+    const response = await this.client.chat.completions.create({
+      model: settings.model ?? this.model,
+      messages: messages.map((m) => ({
+        role: m.role,
+        content: m.content,
+        name: m.name,
+        function_call: m.functionCall,
+      })),
+      temperature: settings.temperature,
+      max_tokens: settings.maxTokens,
+      functions: settings.functions,
+      function_call: settings.functionCall,
+    } as any);
+    this.logger.debug('llm completion', { model: settings.model ?? this.model });
+    span.end();
+    const msg: any = response.choices[0].message;
+    return {
+      role: msg.role as ChatMessage['role'],
+      content: msg.content ?? null,
+      name: msg.name,
+      functionCall: msg.function_call,
+    };
+  }
+
+  async *streamChat(
+    messages: ChatMessage[],
+    settings: ChatCompletionSettings = {}
+  ): AsyncIterable<ChatMessage> {
+    const span = this.tracer.startSpan('LLM.Completion', {
+      attributes: { model: settings.model ?? this.model },
+    });
+    const stream = await this.client.chat.completions.create({
+      model: settings.model ?? this.model,
+      messages: messages.map((m) => ({
+        role: m.role,
+        content: m.content,
+        name: m.name,
+        function_call: m.functionCall,
+      })),
+      temperature: settings.temperature,
+      max_tokens: settings.maxTokens,
+      stream: true,
+      functions: settings.functions,
+      function_call: settings.functionCall,
+    } as any);
+    this.logger.debug('llm completion', { model: settings.model ?? this.model });
+    for await (const part of stream as any) {
+      const delta = part.choices[0]?.delta;
+      if (!delta) continue;
+      yield {
+        role: 'assistant',
+        content: delta.content ?? null,
+        functionCall: delta.function_call,
+      } as ChatMessage;
+    }
+    span.end();
+  }
+}
diff --git a/typescript/src/opentelemetry-shim.d.ts b/typescript/src/opentelemetry-shim.d.ts
new file mode 100644
index 000000000000..6d8311c6b1a4
--- /dev/null
+++ b/typescript/src/opentelemetry-shim.d.ts
@@ -0,0 +1,11 @@
+declare module '@opentelemetry/api' {
+  interface Span {
+    end(): void;
+  }
+  interface Tracer {
+    startSpan(name: string, options?: any): Span;
+  }
+  export const trace: {
+    getTracer(name: string): Tracer;
+  };
+}
diff --git a/typescript/src/types.ts b/typescript/src/types.ts
new file mode 100644
index 000000000000..02dd31585031
--- /dev/null
+++ b/typescript/src/types.ts
@@ -0,0 +1,47 @@
+export interface IService {}
+
+export interface KernelParameter {
+  name: string;
+  schema?: Record<string, any>;
+}
+
+export interface KernelFunctionMetadata {
+  name?: string;
+  description?: string;
+  parameters?: KernelParameter[];
+}
+
+export interface KernelFunction {
+  pluginName: string;
+  name: string;
+  description?: string;
+  parameters?: KernelParameter[];
+  invoke: (context: import('./context').Context) => Promise<any> | any;
+}
+
+export interface ChatMessage {
+  role: 'system' | 'user' | 'assistant' | 'function';
+  content: string | null;
+  name?: string;
+  functionCall?: { name: string; arguments: string };
+}
+
+export interface ChatCompletionSettings {
+  model?: string;
+  temperature?: number;
+  maxTokens?: number;
+  stream?: boolean;
+  functions?: any[];
+  functionCall?: 'auto' | { name: string };
+}
+
+export interface IChatCompletionClient extends IService {
+  completeChat(
+    messages: ChatMessage[],
+    settings?: ChatCompletionSettings
+  ): Promise<ChatMessage>;
+  streamChat(
+    messages: ChatMessage[],
+    settings?: ChatCompletionSettings
+  ): AsyncIterable<ChatMessage>;
+}
diff --git a/typescript/tsconfig.json b/typescript/tsconfig.json
new file mode 100644
index 000000000000..f52b47cd399c
--- /dev/null
+++ b/typescript/tsconfig.json
@@ -0,0 +1,27 @@
+{
+  "compilerOptions": {
+    "target": "ES2020",
+    "module": "ESNext",
+    "moduleResolution": "node",
+    "declaration": true,
+    "declarationMap": true,
+    "sourceMap": true,
+    "outDir": "dist",
+    "rootDir": "src",
+    "strict": true,
+    "noUncheckedIndexedAccess": false,
+    "noImplicitOverride": false,
+    "exactOptionalPropertyTypes": false,
+    "esModuleInterop": true,
+    "allowSyntheticDefaultImports": true,
+    "experimentalDecorators": true,
+    "emitDecoratorMetadata": false,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "resolveJsonModule": true,
+    "allowImportingTsExtensions": false,
+    "noEmit": false
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist", "**/*.test.ts", "**/*.spec.ts"]
+}
diff --git a/typescript/typedoc.json b/typescript/typedoc.json
new file mode 100644
index 000000000000..d937cb481a41
--- /dev/null
+++ b/typescript/typedoc.json
@@ -0,0 +1,18 @@
+{
+  "entryPoints": ["src/index.ts"],
+  "out": "docs",
+  "theme": "default",
+  "readme": "../README.md",
+  "includeVersion": true,
+  "excludePrivate": true,
+  "excludeProtected": true,
+  "excludeExternals": true,
+  "excludeNotDocumented": false,
+  "sort": ["source-order"],
+  "plugin": ["typedoc-plugin-markdown"],
+  "gitRevision": "main",
+  "hideGenerator": true,
+  "searchInComments": true,
+  "categorizeByGroup": true,
+  "defaultCategory": "API"
+}
\ No newline at end of file