feat(speech): enhance speech processing with advanced audio setup and detection

- Add audio setup script for PulseAudio configuration - Improve wake word detection with advanced noise filtering - Implement continuous transcription and command processing - Update speech Dockerfile with additional audio dependencies - Enhance logging and error handling in wake word detector
chore(dependencies): update Bun lockfile and package configuration
2025-02-04 22:51:06 +01:00 · 2025-02-04 21:42:50 +01:00 · 2025-02-04 20:18:46 +01:00 · 2025-02-04 20:14:13 +01:00 · 2025-02-04 19:41:23 +01:00 · 2025-02-04 19:35:50 +01:00
31 changed files with 2482 additions and 212 deletions
--- a/.dockerignore
+++ b/.dockerignore
@@ -73,7 +73,6 @@ temp/
 .cloud/
 *.db
 *.db-* 
-bun.lockb
 .cursor/
 .cursor*
 .cursorconfig
--- a/.env.example
+++ b/.env.example
@@ -101,4 +101,11 @@ VERSION=0.1.0
 TEST_HASS_HOST=http://localhost:8123
 TEST_HASS_TOKEN=test_token
 TEST_HASS_SOCKET_URL=ws://localhost:8123/api/websocket
-TEST_PORT=3001
+TEST_PORT=3001
+
+# Speech Features Configuration
+ENABLE_SPEECH_FEATURES=false
+ENABLE_WAKE_WORD=true
+ENABLE_SPEECH_TO_TEXT=true
+WHISPER_MODEL_PATH=/models
+WHISPER_MODEL_TYPE=base
--- a/69
+++ b/69
@@ -1,23 +1,70 @@
-# Use Bun as the base image
-FROM oven/bun:1.0.25
+# Use Node.js as base for building
+FROM node:20-slim as builder

 # Set working directory
 WORKDIR /app

-# Copy package files
+# Install bun
+RUN npm install -g bun@1.0.25
+
+# Install only the minimal dependencies needed and clean up in the same layer
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    ca-certificates \
+    curl \
+    && rm -rf /var/lib/apt/lists/* \
+    && apt-get clean \
+    && rm -rf /var/cache/apt/*
+
+# Set build-time environment variables
+ENV NODE_ENV=production \
+    NODE_OPTIONS="--max-old-space-size=2048" \
+    BUN_INSTALL_CACHE=0
+
+# Copy only package files first
 COPY package.json ./

-# Install dependencies
-RUN bun install
+# Install dependencies with a clean slate
+RUN rm -rf node_modules .bun bun.lockb && \
+    bun install --no-save

-# Copy source code
-COPY . .
+# Copy source files and build
+COPY src ./src
+COPY tsconfig*.json ./
+RUN bun build ./src/index.ts --target=bun --minify --outdir=./dist

-# Build TypeScript
-RUN bun run build
+# Create a smaller production image
+FROM node:20-slim as runner
+
+# Install bun in production image
+RUN npm install -g bun@1.0.25
+
+# Set production environment variables
+ENV NODE_ENV=production \
+    NODE_OPTIONS="--max-old-space-size=1024"
+
+# Create a non-root user
+RUN addgroup --system --gid 1001 nodejs && \
+    adduser --system --uid 1001 bunjs
+
+WORKDIR /app
+
+# Copy only the necessary files from builder
+COPY --from=builder --chown=bunjs:nodejs /app/dist ./dist
+COPY --from=builder --chown=bunjs:nodejs /app/node_modules ./node_modules
+COPY --chown=bunjs:nodejs package.json ./
+
+# Create logs directory with proper permissions
+RUN mkdir -p /app/logs && chown -R bunjs:nodejs /app/logs
+
+# Switch to non-root user
+USER bunjs
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:4000/health || exit 1

 # Expose port
 EXPOSE 4000

-# Start the application
-CMD ["bun", "run", "start"] 
+# Start the application with optimized flags
+CMD ["bun", "--smol", "run", "start"] 
--- a/README.md
+++ b/README.md
@@ -1,231 +1,288 @@
-# Model Context Protocol (MCP) Server for Home Assistant
+# 🚀 MCP Server for Home Assistant - Bringing AI-Powered Smart Homes to Life!

-The Model Context Protocol (MCP) Server is a robust, secure, and high-performance bridge that integrates Home Assistant with Language Learning Models (LLMs), enabling natural language control and real-time monitoring of your smart home devices. Unlock advanced automation, control, and analytics for your Home Assistant ecosystem.
+[![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)  
+[![Bun](https://img.shields.io/badge/bun-%3E%3D1.0.26-black)](https://bun.sh)  
+[![TypeScript](https://img.shields.io/badge/typescript-%5E5.0.0-blue.svg)](https://www.typescriptlang.org)  
+[![Test Coverage](https://img.shields.io/badge/coverage-95%25-brightgreen.svg)](#)  
+[![Documentation](https://img.shields.io/badge/docs-github.io-blue.svg)](https://jango-blockchained.github.io/homeassistant-mcp/)  
+[![Docker](https://img.shields.io/badge/docker-%3E%3D20.10.8-blue)](https://www.docker.com)

-![License](https://img.shields.io/badge/license-MIT-blue.svg)
-![Bun](https://img.shields.io/badge/bun-%3E%3D1.0.26-black)
-![TypeScript](https://img.shields.io/badge/typescript-%5E5.0.0-blue.svg)
-![Test Coverage](https://img.shields.io/badge/coverage-95%25-brightgreen.svg)
-[![Documentation](https://img.shields.io/badge/docs-github.io-blue.svg)](https://jango-blockchained.github.io/homeassistant-mcp/)
+---

-## Table of Contents
+## Overview 🌐

- [Overview](#overview)
- [Key Features](#key-features)
- [Architecture & Design](#architecture--design)
- [Installation](#installation)
-  - [Basic Setup](#basic-setup)
-  - [Docker Setup (Recommended)](#docker-setup-recommended)
- [Usage](#usage)
- [API & Documentation](#api--documentation)
- [Development](#development)
- [Roadmap & Future Plans](#roadmap--future-plans)
- [Community & Support](#community--support)
- [Contributing](#contributing)
- [Troubleshooting & FAQ](#troubleshooting--faq)
- [License](#license)
+Welcome to the **Model Context Protocol (MCP) Server for Home Assistant**! This robust platform bridges Home Assistant with cutting-edge Language Learning Models (LLMs), enabling natural language interactions and real-time automation of your smart devices. Imagine entering your home, saying:  

-## Overview
+> “Hey MCP, dim the lights and start my evening playlist,”  

-The MCP Server bridges Home Assistant with advanced LLM integrations to deliver intuitive control, automation, and state monitoring. Leveraging a high-performance runtime and real-time communication protocols, MCP offers a seamless experience for managing your smart home.
+and watching your home transform instantly—that's the magic that MCP Server delivers!

-## Key Features
+---

-### Device Control & Monitoring
- **Smart Device Control:** Manage lights, climate, covers, switches, sensors, media players, fans, locks, vacuums, and cameras using natural language commands.
- **Real-time Updates:** Receive instant notifications and updates via Server-Sent Events (SSE).
+## Key Benefits ✨

-### System & Automation Management
- **Automation Engine:** Create, modify, and trigger custom automation rules with ease.
- **Add-on & Package Management:** Integrates with HACS for deploying custom integrations, themes, scripts, and applications.
- **Robust System Management:** Features advanced state monitoring, error handling, and security safeguards.
+### 🎮 Device Control & Monitoring
+- **Voice-Controlled Automation:**  
+  Use simple commands like "Turn on the kitchen lights" or "Set the thermostat to 22°C" without touching a switch.  
+  **Real-World Example:**  
+  In the morning, say "Good morning! Open the blinds and start the coffee machine" to kickstart your day automatically.

-## Architecture & Design
+- **Real-Time Communication:**  
+  Experience sub-100ms latency updates via Server-Sent Events (SSE) or WebSocket connections, ensuring your dashboard is always current.  
+  **Real-World Example:**  
+  Monitor energy usage instantly during peak hours and adjust remotely for efficient consumption.

-The MCP Server is built with scalability, resilience, and security in mind:
+- **Seamless Automation:**  
+  Create scene-based rules to synchronize multiple devices effortlessly.  
+  **Real-World Example:**  
+  For movie nights, have MCP dim the lights, adjust the sound system, and launch your favorite streaming app with just one command.

- **High-Performance Runtime:** Powered by Bun for fast startup, efficient memory utilization, and native TypeScript support.
- **Real-time Communication:** Employs Server-Sent Events (SSE) for continuous, real-time data updates.
- **Modular & Extensible:** Designed to support plugins, add-ons, and custom automation scripts, allowing for easy expansion.
- **Secure API Integration:** Implements token-based authentication, rate limiting, and adherence to best security practices.
+### 🤖 AI-Powered Enhancements
+- **Natural Language Processing (NLP):**  
+  Convert everyday speech into actionable commands—just say, "Prepare the house for dinner," and MCP will adjust lighting, temperature, and even play soft background music.

-For a deeper dive into the system architecture, please refer to our [Architecture Documentation](docs/architecture.md).
+- **Predictive Automation & Suggestions:**  
+  Receive proactive recommendations based on usage habits and environmental trends.  
+  **Real-World Example:**  
+  When home temperature fluctuates unexpectedly, MCP suggests an optimal setting and notifies you immediately.

-## Installation
+- **Anomaly Detection:**  
+  Continuously monitor device activity and alert you to unusual behavior, helping prevent malfunctions or potential security breaches.

-### Basic Setup
+---

-1. **Install Bun:** If Bun is not installed:
-   ```bash
-   curl -fsSL https://bun.sh/install | bash
-   ```
+## Architectural Overview 🏗

-2. **Clone the Repository:**
-   ```bash
-   git clone https://github.com/jango-blockchained/homeassistant-mcp.git
-   cd homeassistant-mcp
-   ```
+Our architecture is engineered for performance, scalability, and security. The following Mermaid diagram illustrates the data flow and component interactions:

-3. **Install Dependencies:**
-   ```bash
-   bun install
-   ```
+```mermaid
+graph TD
+    subgraph Client
+       A[Client Application<br/>(Web / Mobile / Voice)]
+    end
+    subgraph CDN
+       B[CDN / Cache]
+    end
+    subgraph Server
+       C[Bun Native Server]
+       E[NLP Engine<br/>& Language Processing Module]
+    end
+    subgraph Integration
+       D[Home Assistant<br/>(Devices, Lights, Thermostats)]
+    end

-4. **Build the Project:**
-   ```bash
-   bun run build
-   ```
+    A -->|HTTP Request| B
+    B -- Cache Miss --> C
+    C -->|Interpret Command| E
+    E -->|Determine Action| D
+    D -->|Return State/Action| C
+    C -->|Response| B
+    B -->|Cached/Processed Response| A
+```

-### Docker Setup (Recommended)
+Learn more about our architecture in the [Architecture Documentation](docs/architecture.md).

-1. **Clone the Repository:**
-   ```bash
-   git clone https://github.com/jango-blockchained/homeassistant-mcp.git
-   cd homeassistant-mcp
-   ```
+---

-2. **Configure Environment:**
-   ```bash
-   cp .env.example .env
-   ```
-   Customize the `.env` file with your Home Assistant configuration.
+## Technical Stack 🔧

-3. **Deploy with Docker Compose:**
-   ```bash
-   docker compose up -d
-   ```
-   - View logs: `docker compose logs -f`
-   - Stop the server: `docker compose down`
+Our solution is built on a modern, high-performance stack that powers every feature:

-4. **Update the Application:**
-   ```bash
-   git pull && docker compose up -d --build
-   ```
+- **Bun:**  
+  A next-generation JavaScript runtime offering rapid startup times, native TypeScript support, and high performance.  
+  👉 [Learn about Bun](https://bun.sh)

-## Usage
+- **Bun Native Server:**  
+  Utilizes Bun's built-in HTTP server to efficiently process API requests with sub-100ms response times.  
+  👉 See the [Installation Guide](docs/getting-started/installation.md) for details.

-Once the server is running, open your browser at [http://localhost:3000](http://localhost:3000). For real-time device updates, integrate the SSE endpoint in your application:
+- **Natural Language Processing (NLP) & LLM Integration:**  
+  Processes and interprets natural language commands using state-of-the-art LLMs and custom NLP modules.  
+  👉 Find API usage details in the [API Documentation](docs/api.md).
+
+- **Home Assistant Integration:**  
+  Provides seamless connectivity with Home Assistant, ensuring flawless communication with your smart devices.  
+  👉 Refer to the [Usage Guide](docs/usage.md) for more information.
+
+- **Redis Cache:**  
+  Enables rapid data retrieval and session persistence essential for real-time updates.
+
+- **TypeScript:**  
+  Enhances type safety and developer productivity across the entire codebase.
+
+- **JWT & Security Middleware:**  
+  Protects your ecosystem with JWT-based authentication, request sanitization, rate-limiting, and encryption.
+
+- **Containerization with Docker:**  
+  Enables scalable, isolated deployments for production environments.
+
+For further technical details, check out our [Documentation Index](docs/index.md).
+
+---
+
+## Installation 🛠
+
+### 🐳 Docker Setup (Recommended)
+
+For a hassle-free, containerized deployment:
+
+```bash
+# 1. Clone the repository (using a shallow copy for efficiency)
+git clone --depth 1 https://github.com/jango-blockchained/homeassistant-mcp.git
+
+# 2. Configure your environment: copy the example file and edit it with your Home Assistant credentials
+cp .env.example .env  # Modify .env with your Home Assistant host, tokens, etc.
+
+# 3. Build and run the Docker containers
+docker compose up -d --build
+
+# 4. View real-time logs (last 50 log entries)
+docker compose logs -f --tail=50
+```
+
+👉 Refer to our [Installation Guide](docs/getting-started/installation.md) for full details.
+
+### 💻 Bare Metal Installation
+
+For direct deployment on your host machine:
+
+```bash
+# 1. Install Bun (if not already installed)
+curl -fsSL https://bun.sh/install | bash
+
+# 2. Install project dependencies with caching support
+bun install --frozen-lockfile
+
+# 3. Launch the server in development mode with hot-reload enabled
+bun run dev --watch
+```
+
+---
+
+## Real-World Usage Examples 🔍
+
+### 📱 Smart Home Dashboard Integration
+Integrate MCP's real-time updates into your custom dashboard for a dynamic smart home experience:

 ```javascript
 const eventSource = new EventSource('http://localhost:3000/subscribe_events?token=YOUR_TOKEN&domain=light');

 eventSource.onmessage = (event) => {
-  const data = JSON.parse(event.data);
-  console.log('Update received:', data);
+    const data = JSON.parse(event.data);
+    console.log('Real-time update:', data);
+    // Update your UI dashboard, e.g., refresh a light intensity indicator.
 };
 ```

-## API & Documentation
+### 🏠 Voice-Activated Control
+Utilize voice commands to trigger actions with minimal effort:

-Access comprehensive API details and guides in the docs directory:
+```javascript
+// Establish a WebSocket connection for real-time command processing
+const ws = new WebSocket('wss://mcp.yourha.com/ws');

- **API Reference:** [API Documentation](docs/api.md)
- **SSE Documentation:** [SSE API](docs/sse-api.md)
- **Troubleshooting Guide:** [Troubleshooting](docs/troubleshooting.md)
- **Architecture Details:** [Architecture Documentation](docs/architecture.md)
+ws.onmessage = ({ data }) => {
+    const update = JSON.parse(data);
+    if (update.entity_id === 'light.living_room') {
+        console.log('Adjusting living room lighting based on voice command...');
+        // Additional logic to update your UI or trigger further actions can go here.
+    }
+};

-## Development
+// Simulate processing a voice command
+function simulateVoiceCommand(command) {
+    console.log("Processing voice command:", command);
+    // Integrate with your actual voice-to-text system as needed.
+}

-### Running in Development Mode
-
-```bash
-bun run dev
+simulateVoiceCommand("Turn off all the lights for bedtime");
 ```

-### Running Tests
+👉 Learn more in our [Usage Guide](docs/usage.md).

- Execute all tests:
-  ```bash
-  bun test
-  ```
+---

- Run tests with coverage:
-  ```bash
-  bun test --coverage
-  ```
+## Update Strategy 🔄

-### Production Build & Start
+Maintain a seamless operation with zero downtime updates:

 ```bash
-bun run build
-bun start
+# 1. Pull the latest Docker images
+docker compose pull
+
+# 2. Rebuild and restart containers smoothly
+docker compose up -d --build
+
+# 3. Clean up unused Docker images to free up space
+docker system prune -f
 ```

-## Roadmap & Future Plans
+For more details, review our [Troubleshooting & Updates](docs/troubleshooting.md).

-The MCP Server is under active development and improvement. Planned enhancements include:
+---

- **Advanced Automation Capabilities:** Introducing more complex automation rules and conditional logic.
- **Enhanced Security Features:** Additional authentication layers, encryption enhancements, and security monitoring tools.
- **User Interface Improvements:** Development of a more intuitive web dashboard for easier device management.
- **Expanded Integrations:** Support for a wider array of smart home devices and third-party services.
- **Performance Optimizations:** Continued efforts to reduce latency and improve resource efficiency.
+## Security Features 🔐

-For additional details, check out our [Roadmap](docs/roadmap.md).
+We prioritize the security of your smart home with multiple layers of defense:
+- **JWT Authentication 🔑:** Secure, token-based API access to prevent unauthorized usage.
+- **Request Sanitization 🧼:** Automatic filtering and validation of API requests to combat injection attacks.
+- **Rate Limiting & Fail2Ban 🚫:** Monitors requests to prevent brute force and DDoS attacks.
+- **End-to-End Encryption 🔒:** Ensures that your commands and data remain private during transmission.

-## Community & Support
+---

-Join our community to stay updated, share ideas, and get help:
+## Contributing 🤝

- **GitHub Issues:** Report bugs or suggest features on our [GitHub Issues Page](https://github.com/jango-blockchained/homeassistant-mcp/issues).
- **Discussion Forums:** Connect with other users and contributors in our community forums.
- **Chat Platforms:** Join our real-time discussions on [Discord](#) or [Slack](#).
+We value community contributions! Here's how you can help improve MCP Server:
+1. **Fork the Repository 🍴**  
+   Create your own copy of the project.
+2. **Create a Feature Branch 🌿**
+    ```bash
+    git checkout -b feature/your-feature-name
+    ```
+3. **Install Dependencies & Run Tests 🧪**
+    ```bash
+    bun install
+    bun test --coverage
+    ```
+4. **Make Your Changes & Commit 📝**  
+   Follow the [Conventional Commits](https://www.conventionalcommits.org) guidelines.
+5. **Open a Pull Request 🔀**  
+   Submit your changes for review.

-## Contributing
+Read more in our [Contribution Guidelines](docs/contributing.md).

-We welcome your contributions! To get started:
+---

-1. Fork the repository.
-2. Create your feature branch:
-   ```bash
-   git checkout -b feature/your-feature-name
-   ```
-3. Install dependencies:
-   ```bash
-   bun install
-   ```
-4. Make your changes and run tests:
-   ```bash
-   bun test
-   ```
-5. Commit and push your changes, then open a Pull Request.
+## Roadmap & Future Enhancements 🔮

-For detailed guidelines, see [Contributing Guide](docs/contributing.md).
+We're continuously evolving MCP Server. Upcoming features include:
+- **AI Assistant Integration (Q4 2024):**  
+  Smarter, context-aware voice commands and personalized automation.
+- **Predictive Automation (Q1 2025):**  
+  Enhanced scheduling capabilities powered by advanced AI.
+- **Enhanced Security (Q2 2024):**  
+  Introduction of multi-factor authentication, advanced monitoring, and rigorous encryption methods.
+- **Performance Optimizations (Q3 2024):**  
+  Reducing latency further, optimizing caching, and improving load balancing.

-## Troubleshooting & FAQ
+For more details, see our [Roadmap](docs/roadmap.md).

-### Common Issues
+---

- **Connection Problems:** Ensure that your `HASS_HOST`, authentication token, and WebSocket URL are correctly configured.
- **Docker Deployment:** Confirm that Docker is running and that your `.env` file contains the correct settings.
- **Automation Errors:** Verify entity availability and review your automation configurations for potential issues.
+## Community & Support 🌍

-For more troubleshooting details, refer to [Troubleshooting Guide](docs/troubleshooting.md).
+Your feedback and collaboration are vital! Join our community:
+- **GitHub Issues:** Report bugs or request features via our [Issues Page](https://github.com/jango-blockchained/homeassistant-mcp/issues).
+- **Discord & Slack:** Connect with fellow users and developers in real-time.
+- **Documentation:** Find comprehensive guides on the [MCP Documentation Website](https://jango-blockchained.github.io/homeassistant-mcp/).

-### Frequently Asked Questions
+---

-**Q: What platforms does MCP Server support?**
+## License 📜

-A: MCP Server runs on Linux, macOS, and Windows (Docker is recommended for Windows environments).
+This project is licensed under the MIT License. See [LICENSE](LICENSE) for full details.

-**Q: How do I report a bug or request a feature?**
+---

-A: Please use our [GitHub Issues Page](https://github.com/jango-blockchained/homeassistant-mcp/issues) to report bugs or request new features.
-
-**Q: Can I contribute to the project?**
-
-A: Absolutely! We welcome contributions from the community. See the [Contributing](#contributing) section for more details.
-
-## License
-
-This project is licensed under the MIT License. See [LICENSE](LICENSE) for the full license text.
-
-## Documentation
-
-Full documentation is available at: [https://jango-blockchained.github.io/homeassistant-mcp/](https://jango-blockchained.github.io/homeassistant-mcp/)
-
-## Quick Start
-
-## Installation
-
-## Usage
+🔋 Batteries included.
--- a/bun.lock
+++ b/bun.lock
@@ -0,0 +1,570 @@
+{
+  "lockfileVersion": 0,
+  "workspaces": {
+    "": {
+      "dependencies": {
+        "@elysiajs/cors": "^1.2.0",
+        "@elysiajs/swagger": "^1.2.0",
+        "@types/jsonwebtoken": "^9.0.5",
+        "@types/node": "^20.11.24",
+        "@types/sanitize-html": "^2.9.5",
+        "@types/ws": "^8.5.10",
+        "dotenv": "^16.4.5",
+        "elysia": "^1.2.11",
+        "helmet": "^7.1.0",
+        "jsonwebtoken": "^9.0.2",
+        "node-fetch": "^3.3.2",
+        "sanitize-html": "^2.11.0",
+        "typescript": "^5.3.3",
+        "winston": "^3.11.0",
+        "winston-daily-rotate-file": "^5.0.0",
+        "ws": "^8.16.0",
+        "zod": "^3.22.4",
+      },
+      "devDependencies": {
+        "@types/uuid": "^10.0.0",
+        "@typescript-eslint/eslint-plugin": "^7.1.0",
+        "@typescript-eslint/parser": "^7.1.0",
+        "bun-types": "^1.2.2",
+        "eslint": "^8.57.0",
+        "eslint-config-prettier": "^9.1.0",
+        "eslint-plugin-prettier": "^5.1.3",
+        "husky": "^9.0.11",
+        "prettier": "^3.2.5",
+        "supertest": "^6.3.3",
+        "uuid": "^11.0.5",
+      },
+    },
+  },
+  "packages": {
+    "@colors/colors": ["@colors/colors@1.6.0", "", {}, "sha512-Ir+AOibqzrIsL6ajt3Rz3LskB7OiMVHqltZmspbW/TJuTVuyOMirVqAkjfY6JISiLHgyNqicAC8AyHHGzNd/dA=="],
+
+    "@dabh/diagnostics": ["@dabh/diagnostics@2.0.3", "", { "dependencies": { "colorspace": "1.1.x", "enabled": "2.0.x", "kuler": "^2.0.0" } }, "sha512-hrlQOIi7hAfzsMqlGSFyVucrx38O+j6wiGOf//H2ecvIEqYN4ADBSS2iLMh5UFyDunCNniUIPk/q3riFv45xRA=="],
+
+    "@elysiajs/cors": ["@elysiajs/cors@1.2.0", "", { "peerDependencies": { "elysia": ">= 1.2.0" } }, "sha512-qsJwDAg6WfdQRMfj6uSMcDPSpXvm/zQFeAX1uuJXhIgazH8itSfcDxcH9pMuXVRX1yQNi2pPwNQLJmAcw5mzvw=="],
+
+    "@elysiajs/swagger": ["@elysiajs/swagger@1.2.0", "", { "dependencies": { "@scalar/themes": "^0.9.52", "@scalar/types": "^0.0.12", "openapi-types": "^12.1.3", "pathe": "^1.1.2" }, "peerDependencies": { "elysia": ">= 1.2.0" } }, "sha512-OPx93DP6rM2VHjA3D44Xiz5MYm9AYlO2NGWPsnSsdyvaOCiL9wJj529583h7arX4iIEYE5LiLB0/A45unqbopw=="],
+
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+    "resolve-from": ["resolve-from@4.0.0", "", {}, "sha512-pb/MYmXstAkysRFx8piNI1tGFNQIFA3vkE3Gq4EuA1dF6gHp/+vgZqsCGJapvy8N3Q+4o7FwvquPJcnZ7RYy4g=="],
+
+    "reusify": ["reusify@1.0.4", "", {}, "sha512-U9nH88a3fc/ekCF1l0/UP1IosiuIjyTh7hBvXVMHYgVcfGvt897Xguj2UOLDeI5BG2m7/uwyaLVT6fbtCwTyzw=="],
+
+    "rimraf": ["rimraf@3.0.2", "", { "dependencies": { "glob": "^7.1.3" }, "bin": { "rimraf": "bin.js" } }, "sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA=="],
+
+    "run-parallel": ["run-parallel@1.2.0", "", { "dependencies": { "queue-microtask": "^1.2.2" } }, "sha512-5l4VyZR86LZ/lDxZTR6jqL8AFE2S0IFLMP26AbjsLVADxHdhB/c0GUsH+y39UfCi3dzz8OlQuPmnaJOMoDHQBA=="],
+
+    "safe-buffer": ["safe-buffer@5.2.1", "", {}, "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ=="],
+
+    "safe-stable-stringify": ["safe-stable-stringify@2.5.0", "", {}, "sha512-b3rppTKm9T+PsVCBEOUR46GWI7fdOs00VKZ1+9c1EWDaDMvjQc6tUwuFyIprgGgTcWoVHSKrU8H31ZHA2e0RHA=="],
+
+    "sanitize-html": ["sanitize-html@2.14.0", "", { "dependencies": { "deepmerge": "^4.2.2", "escape-string-regexp": "^4.0.0", "htmlparser2": "^8.0.0", "is-plain-object": "^5.0.0", "parse-srcset": "^1.0.2", "postcss": "^8.3.11" } }, "sha512-CafX+IUPxZshXqqRaG9ZClSlfPVjSxI0td7n07hk8QO2oO+9JDnlcL8iM8TWeOXOIBFgIOx6zioTzM53AOMn3g=="],
+
+    "semver": ["semver@7.7.1", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-hlq8tAfn0m/61p4BVRcPzIGr6LKiMwo4VM6dGi6pt4qcRkmNzTcWq6eCEjEh+qXjkMDvPlOFFSGwQjoEa6gyMA=="],
+
+    "shebang-command": ["shebang-command@2.0.0", "", { "dependencies": { "shebang-regex": "^3.0.0" } }, "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA=="],
+
+    "shebang-regex": ["shebang-regex@3.0.0", "", {}, "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A=="],
+
+    "side-channel": ["side-channel@1.1.0", "", { "dependencies": { "es-errors": "^1.3.0", "object-inspect": "^1.13.3", "side-channel-list": "^1.0.0", "side-channel-map": "^1.0.1", "side-channel-weakmap": "^1.0.2" } }, "sha512-ZX99e6tRweoUXqR+VBrslhda51Nh5MTQwou5tnUDgbtyM0dBgmhEDtWGP/xbKn6hqfPRHujUNwz5fy/wbbhnpw=="],
+
+    "side-channel-list": ["side-channel-list@1.0.0", "", { "dependencies": { "es-errors": "^1.3.0", "object-inspect": "^1.13.3" } }, "sha512-FCLHtRD/gnpCiCHEiJLOwdmFP+wzCmDEkc9y7NsYxeF4u7Btsn1ZuwgwJGxImImHicJArLP4R0yX4c2KCrMrTA=="],
+
+    "side-channel-map": ["side-channel-map@1.0.1", "", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "get-intrinsic": "^1.2.5", "object-inspect": "^1.13.3" } }, "sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA=="],
+
+    "side-channel-weakmap": ["side-channel-weakmap@1.0.2", "", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "get-intrinsic": "^1.2.5", "object-inspect": "^1.13.3", "side-channel-map": "^1.0.1" } }, "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A=="],
+
+    "simple-swizzle": ["simple-swizzle@0.2.2", "", { "dependencies": { "is-arrayish": "^0.3.1" } }, "sha512-JA//kQgZtbuY83m+xT+tXJkmJncGMTFT+C+g2h2R9uxkYIrE2yy9sgmcLhCnw57/WSD+Eh3J97FPEDFnbXnDUg=="],
+
+    "slash": ["slash@3.0.0", "", {}, "sha512-g9Q1haeby36OSStwb4ntCGGGaKsaVSjQ68fBxoQcutl5fS1vuY18H3wSt3jFyFtrkx+Kz0V1G85A4MyAdDMi2Q=="],
+
+    "source-map-js": ["source-map-js@1.2.1", "", {}, "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA=="],
+
+    "stack-trace": ["stack-trace@0.0.10", "", {}, "sha512-KGzahc7puUKkzyMt+IqAep+TVNbKP+k2Lmwhub39m1AsTSkaDutx56aDCo+HLDzf/D26BIHTJWNiTG1KAJiQCg=="],
+
+    "string_decoder": ["string_decoder@1.3.0", "", { "dependencies": { "safe-buffer": "~5.2.0" } }, "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA=="],
+
+    "strip-ansi": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],
+
+    "strip-json-comments": ["strip-json-comments@3.1.1", "", {}, "sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig=="],
+
+    "superagent": ["superagent@8.1.2", "", { "dependencies": { "component-emitter": "^1.3.0", "cookiejar": "^2.1.4", "debug": "^4.3.4", "fast-safe-stringify": "^2.1.1", "form-data": "^4.0.0", "formidable": "^2.1.2", "methods": "^1.1.2", "mime": "2.6.0", "qs": "^6.11.0", "semver": "^7.3.8" } }, "sha512-6WTxW1EB6yCxV5VFOIPQruWGHqc3yI7hEmZK6h+pyk69Lk/Ut7rLUY6W/ONF2MjBuGjvmMiIpsrVJ2vjrHlslA=="],
+
+    "supertest": ["supertest@6.3.4", "", { "dependencies": { "methods": "^1.1.2", "superagent": "^8.1.2" } }, "sha512-erY3HFDG0dPnhw4U+udPfrzXa4xhSG+n4rxfRuZWCUvjFWwKl+OxWf/7zk50s84/fAAs7vf5QAb9uRa0cCykxw=="],
+
+    "supports-color": ["supports-color@7.2.0", "", { "dependencies": { "has-flag": "^4.0.0" } }, "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw=="],
+
+    "synckit": ["synckit@0.9.2", "", { "dependencies": { "@pkgr/core": "^0.1.0", "tslib": "^2.6.2" } }, "sha512-vrozgXDQwYO72vHjUb/HnFbQx1exDjoKzqx23aXEg2a9VIg2TSFZ8FmeZpTjUCFMYw7mpX4BE2SFu8wI7asYsw=="],
+
+    "text-hex": ["text-hex@1.0.0", "", {}, "sha512-uuVGNWzgJ4yhRaNSiubPY7OjISw4sw4E5Uv0wbjp+OzcbmVU/rsT8ujgcXJhn9ypzsgr5vlzpPqP+MBBKcGvbg=="],
+
+    "text-table": ["text-table@0.2.0", "", {}, "sha512-N+8UisAXDGk8PFXP4HAzVR9nbfmVJ3zYLAWiTIoqC5v5isinhr+r5uaO8+7r3BMfuNIufIsA7RdpVgacC2cSpw=="],
+
+    "to-regex-range": ["to-regex-range@5.0.1", "", { "dependencies": { "is-number": "^7.0.0" } }, "sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ=="],
+
+    "triple-beam": ["triple-beam@1.4.1", "", {}, "sha512-aZbgViZrg1QNcG+LULa7nhZpJTZSLm/mXnHXnbAbjmN5aSa0y7V+wvv6+4WaBtpISJzThKy+PIPxc1Nq1EJ9mg=="],
+
+    "ts-api-utils": ["ts-api-utils@1.4.3", "", { "peerDependencies": { "typescript": ">=4.2.0" } }, "sha512-i3eMG77UTMD0hZhgRS562pv83RC6ukSAC2GMNWc+9dieh/+jDM5u5YG+NHX6VNDRHQcHwmsTHctP9LhbC3WxVw=="],
+
+    "tslib": ["tslib@2.8.1", "", {}, "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w=="],
+
+    "type-check": ["type-check@0.4.0", "", { "dependencies": { "prelude-ls": "^1.2.1" } }, "sha512-XleUoc9uwGXqjWwXaUTZAmzMcFZ5858QA2vvx1Ur5xIcixXIP+8LnFDgRplU30us6teqdlskFfu+ae4K79Ooew=="],
+
+    "type-fest": ["type-fest@0.20.2", "", {}, "sha512-Ne+eE4r0/iWnpAxD852z3A+N0Bt5RN//NjJwRd2VFHEmrywxf5vsZlh4R6lixl6B+wz/8d+maTSAkN1FIkI3LQ=="],
+
+    "typescript": ["typescript@5.7.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-84MVSjMEHP+FQRPy3pX9sTVV/INIex71s9TL2Gm5FG/WG1SqXeKyZ0k7/blY/4FdOzI12CBy1vGc4og/eus0fw=="],
+
+    "undici-types": ["undici-types@6.19.8", "", {}, "sha512-ve2KP6f/JnbPBFyobGHuerC9g1FYGn/F8n1LWTwNxCEzd6IfqTwUQcNXgEtmmQ6DlRrC1hrSrBnCZPokRrDHjw=="],
+
+    "uri-js": ["uri-js@4.4.1", "", { "dependencies": { "punycode": "^2.1.0" } }, "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg=="],
+
+    "util-deprecate": ["util-deprecate@1.0.2", "", {}, "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="],
+
+    "uuid": ["uuid@11.0.5", "", { "bin": { "uuid": "dist/esm/bin/uuid" } }, "sha512-508e6IcKLrhxKdBbcA2b4KQZlLVp2+J5UwQ6F7Drckkc5N9ZJwFa4TgWtsww9UG8fGHbm6gbV19TdM5pQ4GaIA=="],
+
+    "web-streams-polyfill": ["web-streams-polyfill@3.3.3", "", {}, "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw=="],
+
+    "which": ["which@2.0.2", "", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
+
+    "winston": ["winston@3.17.0", "", { "dependencies": { "@colors/colors": "^1.6.0", "@dabh/diagnostics": "^2.0.2", "async": "^3.2.3", "is-stream": "^2.0.0", "logform": "^2.7.0", "one-time": "^1.0.0", "readable-stream": "^3.4.0", "safe-stable-stringify": "^2.3.1", "stack-trace": "0.0.x", "triple-beam": "^1.3.0", "winston-transport": "^4.9.0" } }, "sha512-DLiFIXYC5fMPxaRg832S6F5mJYvePtmO5G9v9IgUFPhXm9/GkXarH/TUrBAVzhTCzAj9anE/+GjrgXp/54nOgw=="],
+
+    "winston-daily-rotate-file": ["winston-daily-rotate-file@5.0.0", "", { "dependencies": { "file-stream-rotator": "^0.6.1", "object-hash": "^3.0.0", "triple-beam": "^1.4.1", "winston-transport": "^4.7.0" }, "peerDependencies": { "winston": "^3" } }, "sha512-JDjiXXkM5qvwY06733vf09I2wnMXpZEhxEVOSPenZMii+g7pcDcTBt2MRugnoi8BwVSuCT2jfRXBUy+n1Zz/Yw=="],
+
+    "winston-transport": ["winston-transport@4.9.0", "", { "dependencies": { "logform": "^2.7.0", "readable-stream": "^3.6.2", "triple-beam": "^1.3.0" } }, "sha512-8drMJ4rkgaPo1Me4zD/3WLfI/zPdA9o2IipKODunnGDcuqbHwjsbB79ylv04LCGGzU0xQ6vTznOMpQGaLhhm6A=="],
+
+    "word-wrap": ["word-wrap@1.2.5", "", {}, "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA=="],
+
+    "wrappy": ["wrappy@1.0.2", "", {}, "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="],
+
+    "ws": ["ws@8.18.0", "", { "peerDependencies": { "bufferutil": "^4.0.1", "utf-8-validate": ">=5.0.2" }, "optionalPeers": ["bufferutil", "utf-8-validate"] }, "sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw=="],
+
+    "yocto-queue": ["yocto-queue@0.1.0", "", {}, "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q=="],
+
+    "zhead": ["zhead@2.2.4", "", {}, "sha512-8F0OI5dpWIA5IGG5NHUg9staDwz/ZPxZtvGVf01j7vHqSyZ0raHY+78atOVxRqb73AotX22uV1pXt3gYSstGag=="],
+
+    "zod": ["zod@3.24.1", "", {}, "sha512-muH7gBL9sI1nciMZV67X5fTKKBLtwpZ5VBp1vsOQzj1MhrBZ4wlVCm3gedKZWLp0Oyel8sIGfeiz54Su+OVT+A=="],
+
+    "@scalar/themes/@scalar/types": ["@scalar/types@0.0.30", "", { "dependencies": { "@scalar/openapi-types": "0.1.7", "@unhead/schema": "^1.11.11" } }, "sha512-rhgwovQb5f7PXuUB5bLUElpo90fdsiwcOgBXVWZ6n6dnFSKovNJ7GPXQimsZioMzTF6TdwfP94UpZVdZAK4aTw=="],
+
+    "@typescript-eslint/typescript-estree/minimatch": ["minimatch@9.0.5", "", { "dependencies": { "brace-expansion": "^2.0.1" } }, "sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow=="],
+
+    "color/color-convert": ["color-convert@1.9.3", "", { "dependencies": { "color-name": "1.1.3" } }, "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg=="],
+
+    "color-string/color-name": ["color-name@1.1.3", "", {}, "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw=="],
+
+    "fast-glob/glob-parent": ["glob-parent@5.1.2", "", { "dependencies": { "is-glob": "^4.0.1" } }, "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow=="],
+
+    "@scalar/themes/@scalar/types/@scalar/openapi-types": ["@scalar/openapi-types@0.1.7", "", {}, "sha512-oOTG3JQifg55U3DhKB7WdNIxFnJzbPJe7rqdyWdio977l8IkxQTVmObftJhdNIMvhV2K+1f/bDoMQGu6yTaD0A=="],
+
+    "@typescript-eslint/typescript-estree/minimatch/brace-expansion": ["brace-expansion@2.0.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA=="],
+
+    "color/color-convert/color-name": ["color-name@1.1.3", "", {}, "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw=="],
+  }
+}
--- a/bun.lockb
+++ b/bun.lockb
--- a/docker-build.sh
+++ b/docker-build.sh
@@ -0,0 +1,64 @@
+#!/bin/bash
+
+# Enable error handling
+set -euo pipefail
+
+# Function to clean up on script exit
+cleanup() {
+    echo "Cleaning up..."
+    docker builder prune -f --filter until=24h
+    docker image prune -f
+}
+trap cleanup EXIT
+
+# Clean up Docker system
+echo "Cleaning up Docker system..."
+docker system prune -f --volumes
+
+# Set build arguments for better performance
+export DOCKER_BUILDKIT=1
+export COMPOSE_DOCKER_CLI_BUILD=1
+export BUILDKIT_PROGRESS=plain
+
+# Calculate available memory and CPU
+TOTAL_MEM=$(free -m | awk '/^Mem:/{print $2}')
+BUILD_MEM=$(( TOTAL_MEM / 2 ))  # Use half of available memory
+CPU_COUNT=$(nproc)
+CPU_QUOTA=$(( CPU_COUNT * 50000 ))  # Allow 50% CPU usage per core
+
+echo "Building with ${BUILD_MEM}MB memory limit and CPU quota ${CPU_QUOTA}"
+
+# Remove any existing lockfile
+rm -f bun.lockb
+
+# Build with resource limits, optimizations, and timeout
+echo "Building Docker image..."
+DOCKER_BUILDKIT=1 docker build \
+    --memory="${BUILD_MEM}m" \
+    --memory-swap="${BUILD_MEM}m" \
+    --cpu-quota="${CPU_QUOTA}" \
+    --build-arg BUILDKIT_INLINE_CACHE=1 \
+    --build-arg DOCKER_BUILDKIT=1 \
+    --build-arg NODE_ENV=production \
+    --progress=plain \
+    --no-cache \
+    --compress \
+    -t homeassistant-mcp:latest \
+    -t homeassistant-mcp:$(date +%Y%m%d) \
+    .
+
+# Check if build was successful
+BUILD_EXIT_CODE=$?
+if [ $BUILD_EXIT_CODE -eq 124 ]; then
+    echo "Build timed out after 15 minutes!"
+    exit 1
+elif [ $BUILD_EXIT_CODE -ne 0 ]; then
+    echo "Build failed with exit code ${BUILD_EXIT_CODE}!"
+    exit 1
+else
+    echo "Build completed successfully!"
+    
+    # Show image size and layers
+    docker image ls homeassistant-mcp:latest --format "Image size: {{.Size}}"
+    echo "Layer count: $(docker history homeassistant-mcp:latest | wc -l)"
+fi 
--- a/docker/speech/Dockerfile
+++ b/docker/speech/Dockerfile
@@ -0,0 +1,68 @@
+# Use Python slim image as builder
+FROM python:3.10-slim as builder
+
+# Install build dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    build-essential \
+    portaudio19-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create and activate virtual environment
+RUN python -m venv /opt/venv
+ENV PATH="/opt/venv/bin:$PATH"
+
+# Install Python dependencies with specific versions and CPU-only variants
+RUN pip install --no-cache-dir "numpy>=1.24.3,<2.0.0" && \
+    pip install --no-cache-dir torch==2.1.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu && \
+    pip install --no-cache-dir faster-whisper==0.10.0 openwakeword==0.4.0 pyaudio==0.2.14 sounddevice==0.4.6 requests==2.31.0 && \
+    pip freeze > /opt/venv/requirements.txt
+
+# Create final image
+FROM python:3.10-slim
+
+# Copy virtual environment from builder
+COPY --from=builder /opt/venv /opt/venv
+ENV PATH="/opt/venv/bin:$PATH"
+
+# Install audio dependencies
+RUN apt-get update && apt-get install -y \
+    portaudio19-dev \
+    python3-pyaudio \
+    alsa-utils \
+    libasound2 \
+    libasound2-plugins \
+    pulseaudio \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create necessary directories
+RUN mkdir -p /models/wake_word /audio
+
+# Set working directory
+WORKDIR /app
+
+# Copy the wake word detection script
+COPY wake_word_detector.py .
+
+# Set environment variables
+ENV WHISPER_MODEL_PATH=/models \
+    WAKEWORD_MODEL_PATH=/models/wake_word \
+    PYTHONUNBUFFERED=1 \
+    ASR_MODEL=base.en \
+    ASR_MODEL_PATH=/models
+
+# Add resource limits to Python
+ENV PYTHONMALLOC=malloc \
+    MALLOC_TRIM_THRESHOLD_=100000 \
+    PYTHONDEVMODE=1
+
+# Add healthcheck
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD ps aux | grep '[p]ython' || exit 1
+
+# Copy audio setup script
+COPY setup-audio.sh /setup-audio.sh
+RUN chmod +x /setup-audio.sh
+
+# Start command
+CMD ["/bin/bash", "-c", "/setup-audio.sh && python -u wake_word_detector.py"] 
--- a/docker/speech/setup-audio.sh
+++ b/docker/speech/setup-audio.sh
@@ -0,0 +1,16 @@
+#!/bin/bash
+
+# Wait for PulseAudio to be ready
+sleep 2
+
+# Mute the monitor to prevent feedback
+pactl set-source-mute alsa_output.pci-0000_00_1b.0.analog-stereo.monitor 1
+
+# Set microphone sensitivity to 65%
+pactl set-source-volume alsa_input.pci-0000_00_1b.0.analog-stereo 65%
+
+# Set speaker volume to 40%
+pactl set-sink-volume alsa_output.pci-0000_00_1b.0.analog-stereo 40%
+
+# Make the script executable
+chmod +x /setup-audio.sh 
--- a/docker/speech/wake_word_detector.py
+++ b/docker/speech/wake_word_detector.py
@@ -0,0 +1,415 @@
+import os
+import json
+import queue
+import threading
+import numpy as np
+import sounddevice as sd
+from openwakeword import Model
+from datetime import datetime
+import wave
+from faster_whisper import WhisperModel
+import requests
+import logging
+import time
+
+# Set up logging
+logging.basicConfig(
+    level=logging.DEBUG,
+    format='%(asctime)s - %(levelname)s - %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+# Configuration
+SAMPLE_RATE = 16000
+CHANNELS = 1
+CHUNK_SIZE = 1024
+BUFFER_DURATION = 10  # seconds to keep in buffer
+DETECTION_THRESHOLD = 0.5
+CONTINUOUS_TRANSCRIPTION_INTERVAL = 3  # seconds between transcriptions
+MAX_MODEL_LOAD_RETRIES = 3
+MODEL_LOAD_RETRY_DELAY = 5  # seconds
+MODEL_DOWNLOAD_TIMEOUT = 600  # 10 minutes timeout for model download
+
+# Audio processing parameters
+NOISE_THRESHOLD = 0.08  # Increased threshold for better noise filtering
+MIN_SPEECH_DURATION = 2.0  # Longer minimum duration to avoid fragments
+SILENCE_DURATION = 1.0  # Longer silence duration
+MAX_REPETITIONS = 1  # More aggressive repetition filtering
+ECHO_THRESHOLD = 0.75  # More sensitive echo detection
+MIN_SEGMENT_DURATION = 1.0  # Longer minimum segment duration
+FEEDBACK_WINDOW = 5  # Window size for feedback detection in seconds
+
+# Feature flags from environment
+WAKE_WORD_ENABLED = os.environ.get('ENABLE_WAKE_WORD', 'false').lower() == 'true'
+SPEECH_ENABLED = os.environ.get('ENABLE_SPEECH_FEATURES', 'true').lower() == 'true'
+
+# Wake word models to use (only if wake word is enabled)
+WAKE_WORDS = ["alexa"]  # Using 'alexa' as temporary replacement for 'gaja'
+WAKE_WORD_ALIAS = "gaja"  # What we print when wake word is detected
+
+# Home Assistant Configuration
+HASS_HOST = os.environ.get('HASS_HOST', 'http://homeassistant.local:8123')
+HASS_TOKEN = os.environ.get('HASS_TOKEN')
+
+def initialize_asr_model():
+    """Initialize the ASR model with retries and timeout"""
+    model_path = os.environ.get('ASR_MODEL_PATH', '/models')
+    model_name = os.environ.get('ASR_MODEL', 'large-v3')
+    
+    start_time = time.time()
+    for attempt in range(MAX_MODEL_LOAD_RETRIES):
+        try:
+            if time.time() - start_time > MODEL_DOWNLOAD_TIMEOUT:
+                logger.error("Model download timeout exceeded")
+                raise TimeoutError("Model download took too long")
+                
+            logger.info(f"Loading ASR model (attempt {attempt + 1}/{MAX_MODEL_LOAD_RETRIES})")
+            model = WhisperModel(
+                model_size_or_path=model_name,
+                device="cpu",
+                compute_type="int8",
+                download_root=model_path,
+                num_workers=1  # Reduce concurrent downloads
+            )
+            logger.info("ASR model loaded successfully")
+            return model
+        except Exception as e:
+            logger.error(f"Failed to load ASR model (attempt {attempt + 1}): {e}")
+            if attempt < MAX_MODEL_LOAD_RETRIES - 1:
+                logger.info(f"Retrying in {MODEL_LOAD_RETRY_DELAY} seconds...")
+                time.sleep(MODEL_LOAD_RETRY_DELAY)
+            else:
+                logger.error("Failed to load ASR model after all retries")
+                raise
+
+# Initialize the ASR model with retries
+try:
+    asr_model = initialize_asr_model()
+except Exception as e:
+    logger.error(f"Critical error initializing ASR model: {e}")
+    raise
+
+def send_command_to_hass(domain, service, entity_id):
+    """Send command to Home Assistant"""
+    if not HASS_TOKEN:
+        logger.error("Error: HASS_TOKEN not set")
+        return False
+
+    headers = {
+        "Authorization": f"Bearer {HASS_TOKEN}",
+        "Content-Type": "application/json",
+    }
+
+    url = f"{HASS_HOST}/api/services/{domain}/{service}"
+    data = {"entity_id": entity_id}
+
+    try:
+        response = requests.post(url, headers=headers, json=data)
+        response.raise_for_status()
+        logger.info(f"Command sent: {domain}.{service} for {entity_id}")
+        return True
+    except Exception as e:
+        logger.error(f"Error sending command to Home Assistant: {e}")
+        return False
+
+def is_speech(audio_data, threshold=NOISE_THRESHOLD):
+    """Detect if audio segment contains speech based on amplitude and frequency content"""
+    # Calculate RMS amplitude
+    rms = np.sqrt(np.mean(np.square(audio_data)))
+    
+    # Calculate signal energy in speech frequency range (100-4000 Hz)
+    fft = np.fft.fft(audio_data)
+    freqs = np.fft.fftfreq(len(audio_data), 1/SAMPLE_RATE)
+    speech_mask = (np.abs(freqs) >= 100) & (np.abs(freqs) <= 4000)
+    speech_energy = np.sum(np.abs(fft[speech_mask])) / len(audio_data)
+    
+    # Enhanced echo detection
+    # 1. Check for periodic patterns in the signal
+    autocorr = np.correlate(audio_data, audio_data, mode='full')
+    autocorr = autocorr[len(autocorr)//2:]  # Use only positive lags
+    peaks = np.where(autocorr > ECHO_THRESHOLD * np.max(autocorr))[0]
+    peak_spacing = np.diff(peaks)
+    has_periodic_echo = len(peak_spacing) > 2 and np.std(peak_spacing) < 0.1 * np.mean(peak_spacing)
+    
+    # 2. Check for sudden amplitude changes
+    amplitude_envelope = np.abs(audio_data)
+    amplitude_changes = np.diff(amplitude_envelope)
+    has_feedback_spikes = np.any(np.abs(amplitude_changes) > threshold * 2)
+    
+    # 3. Check frequency distribution
+    freq_magnitudes = np.abs(fft)[:len(fft)//2]
+    peak_freqs = freqs[:len(fft)//2][np.argsort(freq_magnitudes)[-3:]]
+    has_feedback_freqs = np.any((peak_freqs > 2000) & (peak_freqs < 4000))
+    
+    # Combine all criteria
+    is_valid_speech = (
+        rms > threshold and
+        speech_energy > threshold and
+        not has_periodic_echo and
+        not has_feedback_spikes and
+        not has_feedback_freqs
+    )
+    
+    return is_valid_speech
+
+def process_command(text):
+    """Process the transcribed command and execute appropriate action"""
+    text = text.lower().strip()
+    
+    # Skip if text is too short or contains numbers (likely noise)
+    if len(text) < 5 or any(char.isdigit() for char in text):
+        logger.debug("Text too short or contains numbers, skipping")
+        return
+    
+    # Enhanced noise pattern detection
+    noise_patterns = ["lei", "los", "und", "aber", "nicht mehr", "das das", "und und"]
+    for pattern in noise_patterns:
+        if text.count(pattern) > 1:  # More aggressive pattern filtering
+            logger.debug(f"Detected noise pattern '{pattern}', skipping")
+            return
+    
+    # More aggressive repetition detection
+    words = text.split()
+    if len(words) >= 2:
+        # Check for immediate word repetitions
+        for i in range(len(words)-1):
+            if words[i] == words[i+1]:
+                logger.debug(f"Detected immediate word repetition: '{words[i]}', skipping")
+                return
+        
+        # Check for phrase repetitions
+        phrases = [' '.join(words[i:i+2]) for i in range(len(words)-1)]
+        phrase_counts = {}
+        for phrase in phrases:
+            phrase_counts[phrase] = phrase_counts.get(phrase, 0) + 1
+            if phrase_counts[phrase] > MAX_REPETITIONS:
+                logger.debug(f"Skipping due to excessive repetition: '{phrase}'")
+                return
+    
+    # German command mappings
+    commands = {
+        "ausschalten": "turn_off",
+        "einschalten": "turn_on",
+        "an": "turn_on",
+        "aus": "turn_off"
+    }
+    
+    rooms = {
+        "wohnzimmer": "living_room",
+        "küche": "kitchen",
+        "schlafzimmer": "bedroom",
+        "bad": "bathroom"
+    }
+    
+    # Detect room
+    detected_room = None
+    for german_room, english_room in rooms.items():
+        if german_room in text:
+            detected_room = english_room
+            break
+    
+    # Detect command
+    detected_command = None
+    for german_cmd, english_cmd in commands.items():
+        if german_cmd in text:
+            detected_command = english_cmd
+            break
+    
+    if detected_room and detected_command:
+        # Construct entity ID (assuming light)
+        entity_id = f"light.{detected_room}"
+        
+        # Send command to Home Assistant
+        if send_command_to_hass("light", detected_command, entity_id):
+            logger.info(f"Executed: {detected_command} for {entity_id}")
+        else:
+            logger.error("Failed to execute command")
+    else:
+        logger.debug(f"No command found in text: '{text}'")
+
+class AudioProcessor:
+    def __init__(self):
+        logger.info("Initializing AudioProcessor...")
+        self.audio_buffer = queue.Queue()
+        self.recording = False
+        self.buffer = np.zeros(SAMPLE_RATE * BUFFER_DURATION)
+        self.buffer_lock = threading.Lock()
+        self.last_transcription_time = 0
+        self.stream = None
+        self.speech_detected = False
+        self.silence_frames = 0
+        self.speech_frames = 0
+
+        # Initialize wake word detection only if enabled
+        if WAKE_WORD_ENABLED:
+            try:
+                logger.info("Initializing wake word model...")
+                self.wake_word_model = Model(vad_threshold=0.5)
+                self.last_prediction = None
+                logger.info("Wake word model initialized successfully")
+            except Exception as e:
+                logger.error(f"Failed to initialize wake word model: {e}")
+                raise
+        else:
+            self.wake_word_model = None
+            self.last_prediction = None
+            logger.info("Wake word detection disabled")
+
+    def should_transcribe(self):
+        """Determine if we should transcribe based on mode and timing"""
+        current_time = datetime.now().timestamp()
+        if not WAKE_WORD_ENABLED:
+            # Check if enough time has passed since last transcription
+            time_since_last = current_time - self.last_transcription_time
+            if time_since_last >= CONTINUOUS_TRANSCRIPTION_INTERVAL:
+                # Only transcribe if we detect speech
+                frames_per_chunk = CHUNK_SIZE
+                min_speech_frames = int(MIN_SPEECH_DURATION * SAMPLE_RATE / frames_per_chunk)
+                
+                if self.speech_frames >= min_speech_frames:
+                    self.last_transcription_time = current_time
+                    self.speech_frames = 0  # Reset counter
+                    return True
+        return False
+
+    def audio_callback(self, indata, frames, time, status):
+        """Callback for audio input"""
+        if status:
+            logger.warning(f"Audio callback status: {status}")
+        
+        # Convert to mono if necessary
+        if CHANNELS > 1:
+            audio_data = np.mean(indata, axis=1)
+        else:
+            audio_data = indata.flatten()
+
+        # Check for speech
+        if is_speech(audio_data):
+            self.speech_frames += 1
+            self.silence_frames = 0
+        else:
+            self.silence_frames += 1
+            frames_per_chunk = CHUNK_SIZE
+            silence_frames_threshold = int(SILENCE_DURATION * SAMPLE_RATE / frames_per_chunk)
+            
+            if self.silence_frames >= silence_frames_threshold:
+                self.speech_frames = 0
+
+        # Update circular buffer
+        with self.buffer_lock:
+            self.buffer = np.roll(self.buffer, -len(audio_data))
+            self.buffer[-len(audio_data):] = audio_data
+
+        if WAKE_WORD_ENABLED:
+            # Process for wake word detection
+            self.last_prediction = self.wake_word_model.predict(audio_data)
+            
+            # Check if wake word detected
+            for wake_word in WAKE_WORDS:
+                confidence = self.last_prediction[wake_word]
+                if confidence > DETECTION_THRESHOLD:
+                    logger.info(
+                        f"Wake word: {WAKE_WORD_ALIAS} (confidence: {confidence:.2f})"
+                    )
+                    self.process_audio()
+                    break
+        else:
+            # Continuous transcription mode
+            if self.should_transcribe():
+                self.process_audio()
+
+    def process_audio(self):
+        """Process the current audio buffer (save and transcribe)"""
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        filename = f"/audio/audio_segment_{timestamp}.wav"
+        
+        # Save the audio buffer to a WAV file
+        with wave.open(filename, 'wb') as wf:
+            wf.setnchannels(CHANNELS)
+            wf.setsampwidth(2)  # 16-bit audio
+            wf.setframerate(SAMPLE_RATE)
+            
+            # Convert float32 to int16
+            audio_data = (self.buffer * 32767).astype(np.int16)
+            wf.writeframes(audio_data.tobytes())
+        
+        logger.info(f"Saved audio segment to {filename}")
+
+        # Transcribe the audio with German language preference
+        try:
+            segments, info = asr_model.transcribe(
+                filename,
+                language="de",  # Set German as preferred language
+                beam_size=5,
+                temperature=0
+            )
+            
+            # Get the full transcribed text
+            transcribed_text = " ".join(segment.text for segment in segments)
+            logger.info(f"Transcribed text: {transcribed_text}")
+            
+            # Process the command
+            process_command(transcribed_text)
+                
+        except Exception as e:
+            logger.error(f"Error during transcription or processing: {e}")
+
+    def start(self):
+        """Start audio processing"""
+        try:
+            logger.info("Starting audio processor...")
+            
+            # Log configuration
+            logger.debug(f"Sample Rate: {SAMPLE_RATE}")
+            logger.debug(f"Channels: {CHANNELS}")
+            logger.debug(f"Chunk Size: {CHUNK_SIZE}")
+            logger.debug(f"Buffer Duration: {BUFFER_DURATION}")
+            logger.debug(f"Wake Word Enabled: {WAKE_WORD_ENABLED}")
+            logger.debug(f"Speech Enabled: {SPEECH_ENABLED}")
+            logger.debug(f"ASR Model: {os.environ.get('ASR_MODEL')}")
+            
+            if WAKE_WORD_ENABLED:
+                logger.info("Initializing wake word detection...")
+                logger.info(f"Loaded wake words: {', '.join(WAKE_WORDS)}")
+            else:
+                logger.info("Starting continuous transcription mode...")
+                interval = CONTINUOUS_TRANSCRIPTION_INTERVAL
+                logger.info(f"Will transcribe every {interval} seconds")
+            
+            try:
+                logger.debug("Setting up audio input stream...")
+                with sd.InputStream(
+                    channels=CHANNELS,
+                    samplerate=SAMPLE_RATE,
+                    blocksize=CHUNK_SIZE,
+                    callback=self.audio_callback
+                ):
+                    logger.info("Audio input stream started successfully")
+                    logger.info("Listening for audio input...")
+                    logger.info("Press Ctrl+C to stop")
+                    
+                    while True:
+                        sd.sleep(1000)  # Sleep for 1 second
+                        
+            except sd.PortAudioError as e:
+                logger.error(f"Error setting up audio stream: {e}")
+                logger.error("Check if microphone is connected and accessible")
+                raise
+            except Exception as e:
+                logger.error(f"Unexpected error in audio stream: {e}")
+                raise
+                    
+        except KeyboardInterrupt:
+            logger.info("\nStopping audio processing...")
+        except Exception as e:
+            logger.error("Critical error in audio processing", exc_info=True)
+            raise
+
+if __name__ == "__main__":
+    try:
+        logger.info("Initializing AudioProcessor...")
+        processor = AudioProcessor()
+        processor.start()
+    except Exception as e:
+        logger.error("Failed to start AudioProcessor", exc_info=True)
+        raise 
--- a/docs/Gemfile
+++ b/docs/Gemfile
@@ -4,6 +4,9 @@ gem "github-pages", group: :jekyll_plugins
 gem "jekyll-theme-minimal"
 gem "jekyll-relative-links"
 gem "jekyll-seo-tag"
+gem "jekyll-remote-theme"
+gem "jekyll-github-metadata"
+gem "faraday-retry"

 # Windows and JRuby does not include zoneinfo files, so bundle the tzinfo-data gem
 # and associated library.
@@ -14,4 +17,7 @@ end

 # Lock `http_parser.rb` gem to `v0.6.x` on JRuby builds since newer versions of the gem
 # do not have a Java counterpart.
-gem "http_parser.rb", "~> 0.6.0", :platforms => [:jruby] 
+gem "http_parser.rb", "~> 0.6.0", :platforms => [:jruby]
+
+# Add webrick for Ruby 3.0+
+gem "webrick", "~> 1.7" 
--- a/docs/README.md
+++ b/docs/README.md
@@ -1,20 +0,0 @@
-# Home Assistant MCP Documentation
-
-Welcome to the documentation for the Home Assistant MCP (Model Context Protocol) Server. Here you'll find comprehensive guides on setup, configuration, usage, and contribution.
-
-## Quick Navigation
-
- [Getting Started Guide](getting-started.md)
- [API Documentation](api.md)
- [Troubleshooting](troubleshooting.md)
- [Contributing Guide](contributing.md)
-
-## Repository Links
-
- [GitHub Repository](https://github.com/jango-blockchained/homeassistant-mcp)
- [Issue Tracker](https://github.com/jango-blockchained/homeassistant-mcp/issues)
- [GitHub Discussions](https://github.com/jango-blockchained/homeassistant-mcp/discussions)
-
-## License
-
-This project is licensed under the MIT License. See [LICENSE](../LICENSE) for details. 
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -2,9 +2,24 @@ title: Model Context Protocol (MCP)
 description: A bridge between Home Assistant and Language Learning Models
 theme: jekyll-theme-minimal
 markdown: kramdown
+
+# Repository settings
+repository: jango-blockchained/advanced-homeassistant-mcp
+github: [metadata]
+
+# Add base URL and URL settings
+baseurl: "/advanced-homeassistant-mcp" # the subpath of your site
+url: "https://jango-blockchained.github.io" # the base hostname & protocol
+
+# Theme settings
+logo: /assets/img/logo.png # path to logo (create this if you want a logo)
+show_downloads: true # show download buttons for your repo
+
 plugins:
  - jekyll-relative-links
  - jekyll-seo-tag
+  - jekyll-remote-theme
+  - jekyll-github-metadata

 # Enable relative links
 relative_links:
@@ -16,11 +31,48 @@ header_pages:
  - index.md
  - getting-started.md
  - api.md
+  - usage.md
+  - tools/tools.md
+  - development/development.md
+  - troubleshooting.md
  - contributing.md
+  - roadmap.md
+
+# Collections
+collections:
+  tools:
+    output: true
+    permalink: /:collection/:name
+  development:
+    output: true
+    permalink: /:collection/:name
+
+# Default layouts
+defaults:
+  - scope:
+      path: ""
+      type: "pages"
+    values:
+      layout: "default"
+  - scope:
+      path: "tools"
+      type: "tools"
+    values:
+      layout: "default"
+  - scope:
+      path: "development"
+      type: "development"
+    values:
+      layout: "default"

 # Exclude files from processing
 exclude:
  - Gemfile
  - Gemfile.lock
  - node_modules
-  - vendor 
+  - vendor
+
+# Sass settings
+sass:
+  style: compressed
+  sass_dir: _sass 
--- a/docs/api.md
+++ b/docs/api.md
@@ -1,6 +1,191 @@
-# API Documentation
+# 🚀 Home Assistant MCP API Documentation

-This section details the available API endpoints for the Home Assistant MCP Server.
+![API Version](https://img.shields.io/badge/API-v2.1-blueviolet) ![Rate Limit](https://img.shields.io/badge/Rate%20Limit-100%2Fmin-brightgreen)
+
+## 🌟 Quick Start
+
+```bash
+# Get API schema with caching
+curl -X GET http://localhost:3000/mcp \
+  -H "Cache-Control: max-age=3600" # Cache for 1 hour
+```
+
+## 🔌 Core Functions ⚙️
+
+### State Management (`/api/state`)
+```http
+GET /api/state?cache=true  # Enable client-side caching
+POST /api/state
+```
+
+**Example Request:**
+```json
+{
+  "context": "living_room",
+  "state": {
+    "lights": "on",
+    "temperature": 22
+  },
+  "_cache": {  // Optional caching config
+    "ttl": 300,  // 5 minutes
+    "tags": ["lights", "climate"]
+  }
+}
+```
+
+## ⚡ Action Endpoints
+
+### Execute Action with Cache Validation
+```http
+POST /api/action
+If-None-Match: "etag_value"  // Prevent duplicate actions
+```
+
+**Batch Processing:**
+```json
+{
+  "actions": [
+    { "action": "🌞 Morning Routine", "params": { "brightness": 80 } },
+    { "action": "❄️ AC Control", "params": { "temp": 21 } }
+  ],
+  "_parallel": true  // Execute actions concurrently
+}
+```
+
+## 🔍 Query Functions
+
+### Available Actions with ETag
+```http
+GET /api/actions
+ETag: "a1b2c3d4"  // Client-side cache validation
+```
+
+**Response Headers:**
+```
+Cache-Control: public, max-age=86400  // 24-hour cache
+ETag: "a1b2c3d4"
+```
+
+## 🌐 WebSocket Events
+
+```javascript
+const ws = new WebSocket('wss://ha-mcp/ws');
+ws.onmessage = ({ data }) => {
+  const event = JSON.parse(data);
+  if(event.type === 'STATE_UPDATE') {
+    updateUI(event.payload);  // 🎨 Real-time UI sync
+  }
+};
+```
+
+## 🗃️ Caching Strategies
+
+### Client-Side Caching
+```http
+GET /api/devices
+Cache-Control: max-age=300, stale-while-revalidate=60
+```
+
+### Server-Side Cache-Control
+```typescript
+// Example middleware configuration
+app.use(
+  cacheMiddleware({
+    ttl: 60 * 5,  // 5 minutes
+    paths: ['/api/devices', '/mcp'],
+    vary: ['Authorization']  // User-specific caching
+  })
+);
+```
+
+## ❌ Error Handling
+
+**429 Too Many Requests:**
+```json
+{
+  "error": {
+    "code": "RATE_LIMITED",
+    "message": "Slow down! 🐢",
+    "retry_after": 30,
+    "docs": "https://ha-mcp/docs/rate-limits"
+  }
+}
+```
+
+## 🚦 Rate Limiting Tiers
+
+| Tier          | Requests/min | Features               |
+|---------------|--------------|------------------------|
+| Guest         | 10           | Basic read-only        |
+| User          | 100          | Full access            |
+| Power User    | 500          | Priority queue         |
+| Integration   | 1000         | Bulk operations        |
+
+## 🛠️ Example Usage
+
+### Smart Cache Refresh
+```javascript
+async function getDevices() {
+  const response = await fetch('/api/devices', {
+    headers: {
+      'If-None-Match': localStorage.getItem('devicesETag')
+    }
+  });
+  
+  if(response.status === 304) {  // Not Modified
+    return JSON.parse(localStorage.devicesCache);
+  }
+  
+  const data = await response.json();
+  localStorage.setItem('devicesETag', response.headers.get('ETag'));
+  localStorage.setItem('devicesCache', JSON.stringify(data));
+  return data;
+}
+```
+
+## 🔒 Security Middleware (Enhanced)
+
+### Cache-Aware Rate Limiting
+```typescript
+app.use(
+  rateLimit({
+    windowMs: 15 * 60 * 1000, // 15 minutes
+    max: 100, // Limit each IP to 100 requests per window
+    cache: new RedisStore(), // Distributed cache
+    keyGenerator: (req) => {
+      return `${req.ip}-${req.headers.authorization}`;
+    }
+  })
+);
+```
+
+### Security Headers
+```http
+Content-Security-Policy: default-src 'self';
+Strict-Transport-Security: max-age=31536000;
+X-Content-Type-Options: nosniff;
+Cache-Control: public, max-age=600;
+ETag: "abc123"
+```
+
+## 📘 Best Practices
+
+1. **Cache Wisely:** Use `ETag` and `Cache-Control` headers for state data
+2. **Batch Operations:** Combine requests using `/api/actions/batch`
+3. **WebSocket First:** Prefer real-time updates over polling
+4. **Error Recovery:** Implement exponential backoff with jitter
+5. **Cache Invalidation:** Use tags for bulk invalidation
+
+```mermaid
+graph LR
+A[Client] -->|Cached Request| B{CDN}
+B -->|Cache Hit| C[Return 304]
+B -->|Cache Miss| D[Origin Server]
+D -->|Response| B
+B -->|Response| A
+```
+
+> Pro Tip: Use `curl -I` to inspect cache headers! 🔍

 ## Device Control

@@ -85,7 +270,7 @@ This section details the available API endpoints for the Home Assistant MCP Serv

 ## Automation Management

-For automation management details and endpoints, please refer to the [Tools Documentation](tools/README.md).
+For automation management details and endpoints, please refer to the [Tools Documentation](tools/tools.md).

 ## Security Considerations

--- a/docs/development/development.md
+++ b/docs/development/development.md
--- a/docs/getting-started.md
+++ b/docs/getting-started.md
@@ -4,7 +4,7 @@ Begin your journey with the Home Assistant MCP Server by following these steps:

 - **API Documentation:** Read the [API Documentation](api.md) for available endpoints.
 - **Real-Time Updates:** Learn about [Server-Sent Events](sse-api.md) for live communication.
- **Tools:** Explore available [Tools](tools/README.md) for device control and automation.
+- **Tools:** Explore available [Tools](tools/tools.md) for device control and automation.
 - **Configuration:** Refer to the [Configuration Guide](configuration.md) for setup and advanced settings.

 ## Troubleshooting
@@ -19,7 +19,7 @@ If you encounter any issues:
 For contributors:
 1. Fork the repository.
 2. Create a feature branch.
-3. Follow the [Development Guide](development/README.md) for contribution guidelines.
+3. Follow the [Development Guide](development/development.md) for contribution guidelines.
 4. Submit a pull request with your enhancements.

 ## Support
--- a/docs/index.md
+++ b/docs/index.md
@@ -4,6 +4,29 @@ title: Home
 nav_order: 1
 ---

+# 📚 Home Assistant MCP Documentation
+
+Welcome to the documentation for the Home Assistant MCP (Model Context Protocol) Server.
+
+## 📑 Documentation Index
+
+- [Getting Started Guide](getting-started.md)
+- [API Documentation](api.md)
+- [Troubleshooting](troubleshooting.md)
+- [Contributing Guide](contributing.md)
+
+For project overview, installation, and general information, please see our [main README](../README.md).
+
+## 🔗 Quick Links
+
+- [GitHub Repository](https://github.com/jango-blockchained/homeassistant-mcp)
+- [Issue Tracker](https://github.com/jango-blockchained/homeassistant-mcp/issues)
+- [GitHub Discussions](https://github.com/jango-blockchained/homeassistant-mcp/discussions)
+
+## 📝 License
+
+This project is licensed under the MIT License. See [LICENSE](../LICENSE) for details.
+
 # Model Context Protocol (MCP) Server

 ## Overview
@@ -56,7 +79,7 @@ The Model Context Protocol (MCP) Server is a cutting-edge bridge between Home As
   - Security Settings
   - Performance Tuning

-6. [Development Guide](development/README.md)
+6. [Development Guide](development/development.md)
   - Project Structure
   - Contributing Guidelines
   - Testing
--- a/docs/tools/README.md
+++ b/docs/tools/README.md
--- a/docs/troubleshooting.md
+++ b/docs/troubleshooting.md
@@ -158,7 +158,7 @@ A: Adjust SSE_MAX_CLIENTS in configuration or clean up stale connections.
 1. Documentation
   - [API Reference](./API.md)
   - [Configuration Guide](./configuration/README.md)
-   - [Development Guide](./development/README.md)
+   - [Development Guide](./development/development.md)

 2. Community
   - GitHub Issues
--- a/docs/usage.md
+++ b/docs/usage.md
@@ -21,13 +21,13 @@ This guide explains how to use the Home Assistant MCP Server for smart home devi
   - See [API Documentation](api.md) for details.

 2. **Tool Integrations:**
-   - Multiple tools are available (see [Tools Documentation](tools/README.md)), for tasks like automation management and notifications.
+   - Multiple tools are available (see [Tools Documentation](tools/tools.md)), for tasks like automation management and notifications.

 3. **Security Settings:**
   - Configure token-based authentication and environment variables as per the [Configuration Guide](getting-started/configuration.md).

 4. **Customization and Extensions:**
-   - Extend server functionality by developing new tools as outlined in the [Development Guide](development/README.md).
+   - Extend server functionality by developing new tools as outlined in the [Development Guide](development/development.md).

 ## Troubleshooting

--- a/examples/README.md
+++ b/examples/README.md
@@ -0,0 +1,91 @@
+# Speech-to-Text Examples
+
+This directory contains examples demonstrating how to use the speech-to-text integration with wake word detection.
+
+## Prerequisites
+
+1. Make sure you have Docker installed and running
+2. Build and start the services:
+   ```bash
+   docker-compose up -d
+   ```
+
+## Running the Example
+
+1. Install dependencies:
+   ```bash
+   npm install
+   ```
+
+2. Run the example:
+   ```bash
+   npm run example:speech
+   ```
+
+   Or using `ts-node` directly:
+   ```bash
+   npx ts-node examples/speech-to-text-example.ts
+   ```
+
+## Features Demonstrated
+
+1. **Wake Word Detection**
+   - Listens for wake words: "hey jarvis", "ok google", "alexa"
+   - Automatically saves audio when wake word is detected
+   - Transcribes the detected speech
+
+2. **Manual Transcription**
+   - Example of how to transcribe audio files manually
+   - Supports different models and configurations
+
+3. **Event Handling**
+   - Wake word detection events
+   - Transcription results
+   - Progress updates
+   - Error handling
+
+## Example Output
+
+When a wake word is detected, you'll see output like this:
+
+```
+🎤 Wake word detected!
+  Timestamp: 20240203_123456
+  Audio file: /path/to/audio/wake_word_20240203_123456.wav
+  Metadata file: /path/to/audio/wake_word_20240203_123456.wav.json
+
+📝 Transcription result:
+  Full text: This is what was said after the wake word.
+
+  Segments:
+    1. [0.00s - 1.52s] (95.5% confidence)
+       "This is what was said"
+    2. [1.52s - 2.34s] (98.2% confidence)
+       "after the wake word."
+```
+
+## Customization
+
+You can customize the behavior by:
+
+1. Changing the wake word models in `docker/speech/Dockerfile`
+2. Modifying transcription options in the example file
+3. Adding your own event handlers
+4. Implementing different audio processing logic
+
+## Troubleshooting
+
+1. **Docker Issues**
+   - Make sure Docker is running
+   - Check container logs: `docker-compose logs fast-whisper`
+   - Verify container is up: `docker ps`
+
+2. **Audio Issues**
+   - Check audio device permissions
+   - Verify audio file format (WAV files recommended)
+   - Check audio file permissions
+
+3. **Performance Issues**
+   - Try using a smaller model (tiny.en or base.en)
+   - Adjust beam size and patience parameters
+   - Consider using GPU acceleration if available 
--- a/examples/speech-to-text-example.ts
+++ b/examples/speech-to-text-example.ts
@@ -0,0 +1,91 @@
+import { SpeechToText, TranscriptionResult, WakeWordEvent } from '../src/speech/speechToText';
+import path from 'path';
+
+async function main() {
+    // Initialize the speech-to-text service
+    const speech = new SpeechToText('fast-whisper');
+
+    // Check if the service is available
+    const isHealthy = await speech.checkHealth();
+    if (!isHealthy) {
+        console.error('Speech service is not available. Make sure Docker is running and the fast-whisper container is up.');
+        console.error('Run: docker-compose up -d');
+        process.exit(1);
+    }
+
+    console.log('Speech service is ready!');
+    console.log('Listening for wake words: "hey jarvis", "ok google", "alexa"');
+    console.log('Press Ctrl+C to exit');
+
+    // Set up event handlers
+    speech.on('wake_word', (event: WakeWordEvent) => {
+        console.log('\n🎤 Wake word detected!');
+        console.log('  Timestamp:', event.timestamp);
+        console.log('  Audio file:', event.audioFile);
+        console.log('  Metadata file:', event.metadataFile);
+    });
+
+    speech.on('transcription', (event: { audioFile: string; result: TranscriptionResult }) => {
+        console.log('\n📝 Transcription result:');
+        console.log('  Full text:', event.result.text);
+        console.log('\n  Segments:');
+        event.result.segments.forEach((segment, index) => {
+            console.log(`    ${index + 1}. [${segment.start.toFixed(2)}s - ${segment.end.toFixed(2)}s] (${(segment.confidence * 100).toFixed(1)}% confidence)`);
+            console.log(`       "${segment.text}"`);
+        });
+    });
+
+    speech.on('progress', (event: { type: string; data: string }) => {
+        if (event.type === 'stderr' && !event.data.includes('Loading model')) {
+            console.error('❌ Error:', event.data);
+        }
+    });
+
+    speech.on('error', (error: Error) => {
+        console.error('❌ Error:', error.message);
+    });
+
+    // Example of manual transcription
+    async function transcribeFile(filepath: string) {
+        try {
+            console.log(`\n🎯 Manually transcribing: ${filepath}`);
+            const result = await speech.transcribeAudio(filepath, {
+                model: 'base.en',  // You can change this to tiny.en, small.en, medium.en, or large-v2
+                language: 'en',
+                temperature: 0,
+                beamSize: 5
+            });
+
+            console.log('\n📝 Transcription result:');
+            console.log('  Text:', result.text);
+        } catch (error) {
+            console.error('❌ Transcription failed:', error instanceof Error ? error.message : error);
+        }
+    }
+
+    // Create audio directory if it doesn't exist
+    const audioDir = path.join(__dirname, '..', 'audio');
+    if (!require('fs').existsSync(audioDir)) {
+        require('fs').mkdirSync(audioDir, { recursive: true });
+    }
+
+    // Start wake word detection
+    speech.startWakeWordDetection(audioDir);
+
+    // Example: You can also manually transcribe files
+    // Uncomment the following line and replace with your audio file:
+    // await transcribeFile('/path/to/your/audio.wav');
+
+    // Keep the process running
+    process.on('SIGINT', () => {
+        console.log('\nStopping speech service...');
+        speech.stopWakeWordDetection();
+        process.exit(0);
+    });
+}
+
+// Run the example
+main().catch(error => {
+    console.error('Fatal error:', error);
+    process.exit(1);
+}); 
--- a/package.json
+++ b/package.json
@@ -21,7 +21,7 @@
    "profile": "bun --inspect src/index.ts",
    "clean": "rm -rf dist .bun coverage",
    "typecheck": "bun x tsc --noEmit",
-    "preinstall": "bun install --frozen-lockfile"
+    "example:speech": "bun run examples/speech-to-text-example.ts"
  },
  "dependencies": {
    "@elysiajs/cors": "^1.2.0",
@@ -37,6 +37,8 @@
    "node-fetch": "^3.3.2",
    "sanitize-html": "^2.11.0",
    "typescript": "^5.3.3",
+    "winston": "^3.11.0",
+    "winston-daily-rotate-file": "^5.0.0",
    "ws": "^8.16.0",
    "zod": "^3.22.4"
  },
--- a/src/config/app.config.ts
+++ b/src/config/app.config.ts
@@ -24,7 +24,7 @@ config({ path: resolve(process.cwd(), envFile) });
 */
 export const AppConfigSchema = z.object({
  /** Server Configuration */
-  PORT: z.number().default(4000),
+  PORT: z.coerce.number().default(4000),
  NODE_ENV: z
    .enum(["development", "production", "test"])
    .default("development"),
@@ -33,6 +33,21 @@ export const AppConfigSchema = z.object({
  HASS_HOST: z.string().default("http://192.168.178.63:8123"),
  HASS_TOKEN: z.string().optional(),

+  /** Speech Features Configuration */
+  SPEECH: z.object({
+    ENABLED: z.boolean().default(false),
+    WAKE_WORD_ENABLED: z.boolean().default(false),
+    SPEECH_TO_TEXT_ENABLED: z.boolean().default(false),
+    WHISPER_MODEL_PATH: z.string().default("/models"),
+    WHISPER_MODEL_TYPE: z.string().default("base"),
+  }).default({
+    ENABLED: false,
+    WAKE_WORD_ENABLED: false,
+    SPEECH_TO_TEXT_ENABLED: false,
+    WHISPER_MODEL_PATH: "/models",
+    WHISPER_MODEL_TYPE: "base",
+  }),
+
  /** Security Configuration */
  JWT_SECRET: z.string().default("your-secret-key"),
  RATE_LIMIT: z.object({
@@ -113,4 +128,11 @@ export const APP_CONFIG = AppConfigSchema.parse({
    LOG_REQUESTS: process.env.LOG_REQUESTS === "true",
  },
  VERSION: "0.1.0",
+  SPEECH: {
+    ENABLED: process.env.ENABLE_SPEECH_FEATURES === "true",
+    WAKE_WORD_ENABLED: process.env.ENABLE_WAKE_WORD === "true",
+    SPEECH_TO_TEXT_ENABLED: process.env.ENABLE_SPEECH_TO_TEXT === "true",
+    WHISPER_MODEL_PATH: process.env.WHISPER_MODEL_PATH || "/models",
+    WHISPER_MODEL_TYPE: process.env.WHISPER_MODEL_TYPE || "base",
+  },
 });
--- a/src/index.ts
+++ b/src/index.ts
@@ -25,6 +25,8 @@ import {
  climateCommands,
  type Command,
 } from "./commands.js";
+import { speechService } from "./speech/index.js";
+import { APP_CONFIG } from "./config/app.config.js";

 // Load environment variables based on NODE_ENV
 const envFile =
@@ -129,8 +131,19 @@ app.get("/health", () => ({
  status: "ok",
  timestamp: new Date().toISOString(),
  version: "0.1.0",
+  speech_enabled: APP_CONFIG.SPEECH.ENABLED,
+  wake_word_enabled: APP_CONFIG.SPEECH.WAKE_WORD_ENABLED,
+  speech_to_text_enabled: APP_CONFIG.SPEECH.SPEECH_TO_TEXT_ENABLED,
 }));

+// Initialize speech service if enabled
+if (APP_CONFIG.SPEECH.ENABLED) {
+  console.log("Initializing speech service...");
+  speechService.initialize().catch((error) => {
+    console.error("Failed to initialize speech service:", error);
+  });
+}
+
 // Create API endpoints for each tool
 tools.forEach((tool) => {
  app.post(`/api/tools/${tool.name}`, async ({ body }: { body: Record<string, unknown> }) => {
@@ -145,7 +158,12 @@ app.listen(PORT, () => {
 });

 // Handle server shutdown
-process.on("SIGTERM", () => {
+process.on("SIGTERM", async () => {
  console.log("Received SIGTERM. Shutting down gracefully...");
+  if (APP_CONFIG.SPEECH.ENABLED) {
+    await speechService.shutdown().catch((error) => {
+      console.error("Error shutting down speech service:", error);
+    });
+  }
  process.exit(0);
 });
--- a/src/speech/tests/fixtures/test.wav
+++ b/src/speech/tests/fixtures/test.wav
--- a/src/speech/tests/speechToText.test.ts
+++ b/src/speech/tests/speechToText.test.ts
@@ -0,0 +1,116 @@
+import { SpeechToText, WakeWordEvent, TranscriptionError } from '../speechToText';
+import fs from 'fs';
+import path from 'path';
+
+describe('SpeechToText', () => {
+    let speechToText: SpeechToText;
+    const testAudioDir = path.join(__dirname, 'test_audio');
+
+    beforeEach(() => {
+        speechToText = new SpeechToText('fast-whisper');
+        // Create test audio directory if it doesn't exist
+        if (!fs.existsSync(testAudioDir)) {
+            fs.mkdirSync(testAudioDir, { recursive: true });
+        }
+    });
+
+    afterEach(() => {
+        speechToText.stopWakeWordDetection();
+        // Clean up test files
+        if (fs.existsSync(testAudioDir)) {
+            fs.rmSync(testAudioDir, { recursive: true, force: true });
+        }
+    });
+
+    describe('checkHealth', () => {
+        it('should handle Docker not being available', async () => {
+            const isHealthy = await speechToText.checkHealth();
+            expect(isHealthy).toBeDefined();
+            expect(isHealthy).toBe(false);
+        });
+    });
+
+    describe('wake word detection', () => {
+        it('should detect new audio files and emit wake word events', (done) => {
+            const testFile = path.join(testAudioDir, 'wake_word_test_123456.wav');
+            const testMetadata = `${testFile}.json`;
+
+            speechToText.startWakeWordDetection(testAudioDir);
+
+            speechToText.on('wake_word', (event: WakeWordEvent) => {
+                expect(event).toBeDefined();
+                expect(event.audioFile).toBe(testFile);
+                expect(event.metadataFile).toBe(testMetadata);
+                expect(event.timestamp).toBe('123456');
+                done();
+            });
+
+            // Create a test audio file to trigger the event
+            fs.writeFileSync(testFile, 'test audio content');
+        }, 1000);
+
+        it('should handle transcription errors when Docker is not available', (done) => {
+            const testFile = path.join(testAudioDir, 'wake_word_test_123456.wav');
+
+            let errorEmitted = false;
+            let wakeWordEmitted = false;
+
+            const checkDone = () => {
+                if (errorEmitted && wakeWordEmitted) {
+                    done();
+                }
+            };
+
+            speechToText.on('error', (error) => {
+                expect(error).toBeDefined();
+                expect(error).toBeInstanceOf(TranscriptionError);
+                expect(error.message).toContain('Failed to start Docker process');
+                errorEmitted = true;
+                checkDone();
+            });
+
+            speechToText.on('wake_word', () => {
+                wakeWordEmitted = true;
+                checkDone();
+            });
+
+            speechToText.startWakeWordDetection(testAudioDir);
+
+            // Create a test audio file to trigger the event
+            fs.writeFileSync(testFile, 'test audio content');
+        }, 1000);
+    });
+
+    describe('transcribeAudio', () => {
+        it('should handle Docker not being available for transcription', async () => {
+            await expect(
+                speechToText.transcribeAudio('/audio/test.wav')
+            ).rejects.toThrow(TranscriptionError);
+        });
+
+        it('should emit progress events on error', (done) => {
+            let progressEmitted = false;
+            let errorThrown = false;
+
+            const checkDone = () => {
+                if (progressEmitted && errorThrown) {
+                    done();
+                }
+            };
+
+            speechToText.on('progress', (event: { type: string; data: string }) => {
+                expect(event.type).toBe('stderr');
+                expect(event.data).toBe('Failed to start Docker process');
+                progressEmitted = true;
+                checkDone();
+            });
+
+            speechToText.transcribeAudio('/audio/test.wav')
+                .catch((error) => {
+                    expect(error).toBeInstanceOf(TranscriptionError);
+                    errorThrown = true;
+                    checkDone();
+                });
+        }, 1000);
+    });
+}); 
--- a/src/speech/index.ts
+++ b/src/speech/index.ts
@@ -0,0 +1,110 @@
+import { APP_CONFIG } from "../config/app.config.js";
+import { logger } from "../utils/logger.js";
+import type { IWakeWordDetector, ISpeechToText } from "./types.js";
+
+class SpeechService {
+    private static instance: SpeechService | null = null;
+    private isInitialized: boolean = false;
+    private wakeWordDetector: IWakeWordDetector | null = null;
+    private speechToText: ISpeechToText | null = null;
+
+    private constructor() { }
+
+    public static getInstance(): SpeechService {
+        if (!SpeechService.instance) {
+            SpeechService.instance = new SpeechService();
+        }
+        return SpeechService.instance;
+    }
+
+    public async initialize(): Promise<void> {
+        if (this.isInitialized) {
+            return;
+        }
+
+        if (!APP_CONFIG.SPEECH.ENABLED) {
+            logger.info("Speech features are disabled. Skipping initialization.");
+            return;
+        }
+
+        try {
+            // Initialize components based on configuration
+            if (APP_CONFIG.SPEECH.WAKE_WORD_ENABLED) {
+                logger.info("Initializing wake word detection...");
+                // Dynamic import to avoid loading the module if not needed
+                const { WakeWordDetector } = await import("./wakeWordDetector.js");
+                this.wakeWordDetector = new WakeWordDetector() as IWakeWordDetector;
+                await this.wakeWordDetector.initialize();
+            }
+
+            if (APP_CONFIG.SPEECH.SPEECH_TO_TEXT_ENABLED) {
+                logger.info("Initializing speech-to-text...");
+                // Dynamic import to avoid loading the module if not needed
+                const { SpeechToText } = await import("./speechToText.js");
+                this.speechToText = new SpeechToText({
+                    modelPath: APP_CONFIG.SPEECH.WHISPER_MODEL_PATH,
+                    modelType: APP_CONFIG.SPEECH.WHISPER_MODEL_TYPE,
+                }) as ISpeechToText;
+                await this.speechToText.initialize();
+            }
+
+            this.isInitialized = true;
+            logger.info("Speech service initialized successfully");
+        } catch (error) {
+            logger.error("Failed to initialize speech service:", error);
+            throw error;
+        }
+    }
+
+    public async shutdown(): Promise<void> {
+        if (!this.isInitialized) {
+            return;
+        }
+
+        try {
+            if (this.wakeWordDetector) {
+                await this.wakeWordDetector.shutdown();
+                this.wakeWordDetector = null;
+            }
+
+            if (this.speechToText) {
+                await this.speechToText.shutdown();
+                this.speechToText = null;
+            }
+
+            this.isInitialized = false;
+            logger.info("Speech service shut down successfully");
+        } catch (error) {
+            logger.error("Error during speech service shutdown:", error);
+            throw error;
+        }
+    }
+
+    public isEnabled(): boolean {
+        return APP_CONFIG.SPEECH.ENABLED;
+    }
+
+    public isWakeWordEnabled(): boolean {
+        return APP_CONFIG.SPEECH.WAKE_WORD_ENABLED;
+    }
+
+    public isSpeechToTextEnabled(): boolean {
+        return APP_CONFIG.SPEECH.SPEECH_TO_TEXT_ENABLED;
+    }
+
+    public getWakeWordDetector(): IWakeWordDetector {
+        if (!this.isInitialized || !this.wakeWordDetector) {
+            throw new Error("Wake word detector is not initialized");
+        }
+        return this.wakeWordDetector;
+    }
+
+    public getSpeechToText(): ISpeechToText {
+        if (!this.isInitialized || !this.speechToText) {
+            throw new Error("Speech-to-text is not initialized");
+        }
+        return this.speechToText;
+    }
+}
+
+export const speechService = SpeechService.getInstance(); 
--- a/src/speech/speechToText.ts
+++ b/src/speech/speechToText.ts
@@ -0,0 +1,247 @@
+import { spawn } from 'child_process';
+import { EventEmitter } from 'events';
+import { watch } from 'fs';
+import path from 'path';
+import { ISpeechToText, SpeechToTextConfig } from "./types.js";
+
+export interface TranscriptionOptions {
+    model?: 'tiny.en' | 'base.en' | 'small.en' | 'medium.en' | 'large-v2';
+    language?: string;
+    temperature?: number;
+    beamSize?: number;
+    patience?: number;
+    device?: 'cpu' | 'cuda';
+}
+
+export interface TranscriptionResult {
+    text: string;
+    segments: Array<{
+        text: string;
+        start: number;
+        end: number;
+        confidence: number;
+    }>;
+}
+
+export interface WakeWordEvent {
+    timestamp: string;
+    audioFile: string;
+    metadataFile: string;
+}
+
+export class TranscriptionError extends Error {
+    constructor(message: string) {
+        super(message);
+        this.name = 'TranscriptionError';
+    }
+}
+
+export class SpeechToText extends EventEmitter implements ISpeechToText {
+    private containerName: string;
+    private audioWatcher?: ReturnType<typeof watch>;
+    private modelPath: string;
+    private modelType: string;
+    private isInitialized: boolean = false;
+
+    constructor(config: SpeechToTextConfig) {
+        super();
+        this.containerName = config.containerName || 'fast-whisper';
+        this.modelPath = config.modelPath;
+        this.modelType = config.modelType;
+    }
+
+    public async initialize(): Promise<void> {
+        if (this.isInitialized) {
+            return;
+        }
+        try {
+            // Initialization logic will be implemented here
+            await this.setupContainer();
+            this.isInitialized = true;
+            this.emit('ready');
+        } catch (error) {
+            this.emit('error', error);
+            throw error;
+        }
+    }
+
+    public async shutdown(): Promise<void> {
+        if (!this.isInitialized) {
+            return;
+        }
+        try {
+            // Cleanup logic will be implemented here
+            await this.cleanupContainer();
+            this.isInitialized = false;
+            this.emit('shutdown');
+        } catch (error) {
+            this.emit('error', error);
+            throw error;
+        }
+    }
+
+    public async transcribe(audioData: Buffer): Promise<string> {
+        if (!this.isInitialized) {
+            throw new Error("Speech-to-text service is not initialized");
+        }
+        try {
+            // Transcription logic will be implemented here
+            this.emit('transcribing');
+            const result = await this.processAudio(audioData);
+            this.emit('transcribed', result);
+            return result;
+        } catch (error) {
+            this.emit('error', error);
+            throw error;
+        }
+    }
+
+    private async setupContainer(): Promise<void> {
+        // Container setup logic will be implemented here
+        await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
+    }
+
+    private async cleanupContainer(): Promise<void> {
+        // Container cleanup logic will be implemented here
+        await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
+    }
+
+    private async processAudio(audioData: Buffer): Promise<string> {
+        // Audio processing logic will be implemented here
+        await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
+        return "Transcription placeholder";
+    }
+
+    startWakeWordDetection(audioDir: string = './audio'): void {
+        // Watch for new audio files from wake word detection
+        this.audioWatcher = watch(audioDir, (eventType, filename) => {
+            if (eventType === 'rename' && filename && filename.startsWith('wake_word_') && filename.endsWith('.wav')) {
+                const audioFile = path.join(audioDir, filename);
+                const metadataFile = `${audioFile}.json`;
+                const parts = filename.split('_');
+                const timestamp = parts[parts.length - 1].split('.')[0];
+
+                // Emit wake word event
+                this.emit('wake_word', {
+                    timestamp,
+                    audioFile,
+                    metadataFile
+                } as WakeWordEvent);
+
+                // Automatically transcribe the wake word audio
+                this.transcribeAudio(audioFile)
+                    .then(result => {
+                        this.emit('transcription', { audioFile, result });
+                    })
+                    .catch(error => {
+                        this.emit('error', error);
+                    });
+            }
+        });
+    }
+
+    stopWakeWordDetection(): void {
+        if (this.audioWatcher) {
+            this.audioWatcher.close();
+            this.audioWatcher = undefined;
+        }
+    }
+
+    async transcribeAudio(
+        audioFilePath: string,
+        options: TranscriptionOptions = {}
+    ): Promise<TranscriptionResult> {
+        const {
+            model = 'base.en',
+            language = 'en',
+            temperature = 0,
+            beamSize = 5,
+            patience = 1,
+            device = 'cpu'
+        } = options;
+
+        return new Promise((resolve, reject) => {
+            const args = [
+                'exec',
+                this.containerName,
+                'fast-whisper',
+                '--model', model,
+                '--language', language,
+                '--temperature', temperature.toString(),
+                '--beam-size', beamSize.toString(),
+                '--patience', patience.toString(),
+                '--device', device,
+                '--output-json',
+                audioFilePath
+            ];
+
+            let process;
+            try {
+                process = spawn('docker', args);
+            } catch (error) {
+                this.emit('progress', { type: 'stderr', data: 'Failed to start Docker process' });
+                reject(new TranscriptionError('Failed to start Docker process'));
+                return;
+            }
+
+            let stdout = '';
+            let stderr = '';
+
+            process.stdout?.on('data', (data: Buffer) => {
+                stdout += data.toString();
+                this.emit('progress', { type: 'stdout', data: data.toString() });
+            });
+
+            process.stderr?.on('data', (data: Buffer) => {
+                stderr += data.toString();
+                this.emit('progress', { type: 'stderr', data: data.toString() });
+            });
+
+            process.on('error', (error: Error) => {
+                this.emit('progress', { type: 'stderr', data: error.message });
+                reject(new TranscriptionError(`Failed to execute Docker command: ${error.message}`));
+            });
+
+            process.on('close', (code: number) => {
+                if (code !== 0) {
+                    reject(new TranscriptionError(`Transcription failed: ${stderr}`));
+                    return;
+                }
+
+                try {
+                    const result = JSON.parse(stdout) as TranscriptionResult;
+                    resolve(result);
+                } catch (error: unknown) {
+                    if (error instanceof Error) {
+                        reject(new TranscriptionError(`Failed to parse transcription result: ${error.message}`));
+                    } else {
+                        reject(new TranscriptionError('Failed to parse transcription result: Unknown error'));
+                    }
+                }
+            });
+        });
+    }
+
+    async checkHealth(): Promise<boolean> {
+        try {
+            const process = spawn('docker', ['ps', '--filter', `name=${this.containerName}`, '--format', '{{.Status}}']);
+
+            return new Promise((resolve) => {
+                let output = '';
+                process.stdout?.on('data', (data: Buffer) => {
+                    output += data.toString();
+                });
+
+                process.on('error', () => {
+                    resolve(false);
+                });
+
+                process.on('close', (code: number) => {
+                    resolve(code === 0 && output.toLowerCase().includes('up'));
+                });
+            });
+        } catch (error) {
+            return false;
+        }
+    }
+} 
--- a/src/speech/types.ts
+++ b/src/speech/types.ts
@@ -0,0 +1,20 @@
+import { EventEmitter } from "events";
+
+export interface IWakeWordDetector {
+    initialize(): Promise<void>;
+    shutdown(): Promise<void>;
+    startListening(): Promise<void>;
+    stopListening(): Promise<void>;
+}
+
+export interface ISpeechToText extends EventEmitter {
+    initialize(): Promise<void>;
+    shutdown(): Promise<void>;
+    transcribe(audioData: Buffer): Promise<string>;
+}
+
+export interface SpeechToTextConfig {
+    modelPath: string;
+    modelType: string;
+    containerName?: string;
+} 
--- a/src/speech/wakeWordDetector.ts
+++ b/src/speech/wakeWordDetector.ts
@@ -0,0 +1,64 @@
+import { IWakeWordDetector } from "./types.js";
+
+export class WakeWordDetector implements IWakeWordDetector {
+    private isListening: boolean = false;
+    private isInitialized: boolean = false;
+
+    public async initialize(): Promise<void> {
+        if (this.isInitialized) {
+            return;
+        }
+        // Initialization logic will be implemented here
+        await this.setupDetector();
+        this.isInitialized = true;
+    }
+
+    public async shutdown(): Promise<void> {
+        if (this.isListening) {
+            await this.stopListening();
+        }
+        if (this.isInitialized) {
+            await this.cleanupDetector();
+            this.isInitialized = false;
+        }
+    }
+
+    public async startListening(): Promise<void> {
+        if (!this.isInitialized) {
+            throw new Error("Wake word detector is not initialized");
+        }
+        if (this.isListening) {
+            return;
+        }
+        await this.startDetection();
+        this.isListening = true;
+    }
+
+    public async stopListening(): Promise<void> {
+        if (!this.isListening) {
+            return;
+        }
+        await this.stopDetection();
+        this.isListening = false;
+    }
+
+    private async setupDetector(): Promise<void> {
+        // Setup logic will be implemented here
+        await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
+    }
+
+    private async cleanupDetector(): Promise<void> {
+        // Cleanup logic will be implemented here
+        await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
+    }
+
+    private async startDetection(): Promise<void> {
+        // Start detection logic will be implemented here
+        await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
+    }
+
+    private async stopDetection(): Promise<void> {
+        // Stop detection logic will be implemented here
+        await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
+    }
+}
Author	SHA1	Message	Date
jango-blockchained	b9727981cc	feat(speech): enhance speech processing with advanced audio setup and detection - Add audio setup script for PulseAudio configuration - Improve wake word detection with advanced noise filtering - Implement continuous transcription and command processing - Update speech Dockerfile with additional audio dependencies - Enhance logging and error handling in wake word detector	2025-02-04 22:51:06 +01:00
jango-blockchained	e1db799b1d	chore(dependencies): update Bun lockfile and package configuration - Update bun.lock with latest package versions - Modify Dockerfile to improve dependency installation - Remove preinstall script from package.json - Add winston logging dependencies - Adjust Docker build process for cleaner dependency management	2025-02-04 21:42:50 +01:00
jango-blockchained	905339fb67	refactor(docker): switch to Node.js base image and optimize Bun installation - Replace Bun base image with Node.js slim image - Install Bun globally using npm in both builder and runner stages - Simplify Docker build process and dependency management - Remove unnecessary environment variables and build flags - Update docker-build.sh to use BuildKit and remove lockfile before build	2025-02-04 20:18:46 +01:00
jango-blockchained	849b080aba	chore: update project dependencies and build configuration - Remove bun.lockb from version control - Add comprehensive docker-build.sh script for optimized Docker builds - Update Dockerfile with multi-stage build and improved resource management - Add winston logging dependencies to package.json - Enhance Docker image build process with resource constraints and caching	2025-02-04 20:14:13 +01:00
jango-blockchained	f8bbe4af6f	refactor(docker): optimize Dockerfiles for multi-stage builds and production deployment - Implement multi-stage builds for main and speech Dockerfiles - Reduce image size by using slim base images - Improve dependency installation with frozen lockfile and production flags - Add resource constraints and healthcheck to speech service Dockerfile - Enhance build caching and separation of build/runtime dependencies	2025-02-04 19:41:23 +01:00
jango-blockchained	3a6f79c9a8	feat(speech): enhance speech configuration and example integration - Add comprehensive speech configuration in .env.example and app config - Update Docker speech Dockerfile for more flexible model handling - Create detailed README for speech-to-text examples - Implement example script demonstrating speech features - Improve speech service initialization and configuration management	2025-02-04 19:35:50 +01:00
jango-blockchained	60f18f8e71	feat(speech): add speech-to-text and wake word detection modules - Implement SpeechToText class with Docker-based transcription capabilities - Add wake word detection using OpenWakeWord and fast-whisper models - Create Dockerfile for speech processing container - Develop comprehensive test suite for speech recognition functionality - Include audio processing and event-driven transcription features	2025-02-04 19:08:01 +01:00
jango-blockchained	47f11b3d95	docs: update README.md	2025-02-04 18:35:17 +01:00
jango-blockchained	f24be8ff53	docs: remove outdated support and rate limiting sections from README	2025-02-04 18:31:39 +01:00
jango-blockchained	dfff432321	docs: update Jekyll configuration for GitHub Pages and dependencies - Add repository settings and GitHub metadata plugin - Update baseurl to match repository name - Include additional Jekyll and Ruby dependencies in Gemfile - Simplify configuration by removing redundant sections	2025-02-04 18:00:59 +01:00
jango-blockchained	d59bf02d08	docs: enhance Jekyll configuration with comprehensive site settings - Add base URL and site configuration for GitHub Pages - Include remote theme and additional Jekyll plugins - Configure navigation structure and page layouts - Set up collections for tools and development sections - Optimize Gemfile with additional dependencies	2025-02-04 17:58:10 +01:00
jango-blockchained	345a5888d9	docs: update Jekyll configuration for enhanced documentation structure - Add new documentation pages to header navigation - Configure collections for tools and development sections - Set default layouts for pages, tools, and development collections - Improve documentation site organization and navigation	2025-02-04 17:51:04 +01:00
jango-blockchained	d6a5771e01	docs: enhance project documentation with comprehensive updates - Revamp README.md with improved project overview, architecture diagram, and badges - Create new development and tools documentation with detailed guides - Update API documentation with enhanced examples, rate limiting, and security information - Refactor and consolidate documentation files for better navigation and clarity - Add emojis and visual improvements to make documentation more engaging	2025-02-04 17:49:58 +01:00