docs: Update environment configuration and README with comprehensive setup guide

- Enhance `.env.example` with more detailed and organized configuration options
- Refactor README to provide clearer setup instructions and system architecture overview
- Add new `scripts/setup-env.sh` for flexible environment configuration management
- Update `docs/configuration.md` with detailed environment loading strategy and best practices
- Improve documentation for speech features, client integration, and development workflows
This commit is contained in:
jango-blockchained
2025-02-06 09:35:02 +01:00
parent 69e9c7de55
commit 4db60b6a6f
4 changed files with 504 additions and 278 deletions

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@@ -1,43 +1,15 @@
# Home Assistant Configuration
# The URL of your Home Assistant instance
HASS_HOST=http://homeassistant.local:8123
# Long-lived access token from Home Assistant
# Generate from Profile -> Long-Lived Access Tokens
HASS_TOKEN=your_long_lived_token
# WebSocket URL for real-time updates
HASS_SOCKET_URL=ws://homeassistant.local:8123/api/websocket
# Server Configuration # Server Configuration
# Port for the MCP server (default: 3000)
PORT=3000
# Environment (development/production/test)
NODE_ENV=development NODE_ENV=development
PORT=3000
# Debug mode (true/false)
DEBUG=false DEBUG=false
# Logging level (debug/info/warn/error)
LOG_LEVEL=info LOG_LEVEL=info
# AI Configuration # Home Assistant Configuration
# Natural Language Processor type (claude/gpt4/custom) HASS_HOST=http://homeassistant.local:8123
PROCESSOR_TYPE=claude HASS_TOKEN=your_long_lived_token
HASS_SOCKET_URL=ws://homeassistant.local:8123/api/websocket
# OpenAI API Key (required for GPT-4 analysis)
OPENAI_API_KEY=your_openai_api_key
# Rate Limiting
# Requests per minute per IP for regular endpoints
RATE_LIMIT_REGULAR=100
# Requests per minute per IP for WebSocket connections
RATE_LIMIT_WEBSOCKET=1000
# Security Configuration # Security Configuration
# JWT Configuration
JWT_SECRET=your_jwt_secret_key_min_32_chars JWT_SECRET=your_jwt_secret_key_min_32_chars
JWT_EXPIRY=86400000 JWT_EXPIRY=86400000
JWT_MAX_AGE=2592000000 JWT_MAX_AGE=2592000000
@@ -46,11 +18,8 @@ JWT_ALGORITHM=HS256
# Rate Limiting # Rate Limiting
RATE_LIMIT_WINDOW=900000 RATE_LIMIT_WINDOW=900000
RATE_LIMIT_MAX_REQUESTS=100 RATE_LIMIT_MAX_REQUESTS=100
RATE_LIMIT_REGULAR=100
# Token Security RATE_LIMIT_WEBSOCKET=1000
TOKEN_MIN_LENGTH=32
MAX_FAILED_ATTEMPTS=5
LOCKOUT_DURATION=900000
# CORS Configuration # CORS Configuration
CORS_ORIGINS=http://localhost:3000,http://localhost:8123 CORS_ORIGINS=http://localhost:3000,http://localhost:8123
@@ -60,17 +29,6 @@ CORS_EXPOSED_HEADERS=
CORS_CREDENTIALS=true CORS_CREDENTIALS=true
CORS_MAX_AGE=86400 CORS_MAX_AGE=86400
# Content Security Policy
CSP_ENABLED=true
CSP_REPORT_ONLY=false
CSP_REPORT_URI=
# SSL/TLS Configuration
REQUIRE_HTTPS=true
HSTS_MAX_AGE=31536000
HSTS_INCLUDE_SUBDOMAINS=true
HSTS_PRELOAD=true
# Cookie Security # Cookie Security
COOKIE_SECRET=your_cookie_secret_key_min_32_chars COOKIE_SECRET=your_cookie_secret_key_min_32_chars
COOKIE_SECURE=true COOKIE_SECURE=true
@@ -81,27 +39,12 @@ COOKIE_SAME_SITE=Strict
MAX_REQUEST_SIZE=1048576 MAX_REQUEST_SIZE=1048576
MAX_REQUEST_FIELDS=1000 MAX_REQUEST_FIELDS=1000
# SSE Configuration # AI Configuration
SSE_MAX_CLIENTS=1000 PROCESSOR_TYPE=claude
SSE_PING_INTERVAL=30000 OPENAI_API_KEY=your_openai_api_key
OPENAI_MODEL=gpt-3.5-turbo
# Logging Configuration MAX_RETRIES=3
LOG_LEVEL=info ANALYSIS_TIMEOUT=30000
LOG_DIR=logs
LOG_MAX_SIZE=20m
LOG_MAX_DAYS=14d
LOG_COMPRESS=true
LOG_REQUESTS=true
# Version
VERSION=0.1.0
# Test Configuration
# Only needed if running tests
TEST_HASS_HOST=http://localhost:8123
TEST_HASS_TOKEN=test_token
TEST_HASS_SOCKET_URL=ws://localhost:8123/api/websocket
TEST_PORT=3001
# Speech Features Configuration # Speech Features Configuration
ENABLE_SPEECH_FEATURES=false ENABLE_SPEECH_FEATURES=false
@@ -110,5 +53,30 @@ ENABLE_SPEECH_TO_TEXT=false
WHISPER_MODEL_PATH=/models WHISPER_MODEL_PATH=/models
WHISPER_MODEL_TYPE=tiny WHISPER_MODEL_TYPE=tiny
# Audio Configuration
NOISE_THRESHOLD=0.05
MIN_SPEECH_DURATION=1.0
SILENCE_DURATION=0.5
SAMPLE_RATE=16000
CHANNELS=1
CHUNK_SIZE=1024
PULSE_SERVER=unix:/run/user/1000/pulse/native
# SSE Configuration
SSE_MAX_CLIENTS=50
SSE_RECONNECT_TIMEOUT=5000
# Development Flags
HOT_RELOAD=true
# Test Configuration (only needed for running tests)
TEST_HASS_HOST=http://localhost:8123
TEST_HASS_TOKEN=test_token
TEST_HASS_SOCKET_URL=ws://localhost:8123/api/websocket
TEST_PORT=3001
# Version
VERSION=0.1.0
# Advanced (Docker) # Advanced (Docker)
COMPOSE_PROJECT_NAME=mcp COMPOSE_PROJECT_NAME=mcp

324
README.md
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@@ -1,10 +1,42 @@
# MCP Server for Home Assistant 🏠🤖 # MCP Server for Home Assistant 🏠🤖
[![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) [![smithery badge](https://smithery.ai/badge/@jango-blockchained/advanced-homeassistant-mcp)](https://smithery.ai/server/@jango-blockchained/advanced-homeassistant-mcp) [![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)
## Overview 🌐 ## Overview 🌐
MCP (Model Context Protocol) Server is a lightweight integration tool for Home Assistant, providing a flexible interface for device management and automation. MCP (Model Context Protocol) Server is my lightweight integration tool for Home Assistant, providing a flexible interface for device management and automation. It's designed to be fast, secure, and easy to use. Built with Bun for maximum performance.
## Why Bun? 🚀
I chose Bun as the runtime for several key benefits:
-**Blazing Fast Performance**
- Up to 4x faster than Node.js
- Built-in TypeScript support
- Optimized file system operations
- 🎯 **All-in-One Solution**
- Package manager (faster than npm/yarn)
- Bundler (no webpack needed)
- Test runner (built-in testing)
- TypeScript transpiler
- 🔋 **Built-in Features**
- SQLite3 driver
- .env file loading
- WebSocket client/server
- File watcher
- Test runner
- 💾 **Resource Efficient**
- Lower memory usage
- Faster cold starts
- Better CPU utilization
- 🔄 **Node.js Compatibility**
- Runs most npm packages
- Compatible with Express/Fastify
- Native Node.js APIs
## Core Features ✨ ## Core Features ✨
@@ -12,95 +44,131 @@ MCP (Model Context Protocol) Server is a lightweight integration tool for Home A
- 📡 WebSocket/Server-Sent Events (SSE) for state updates - 📡 WebSocket/Server-Sent Events (SSE) for state updates
- 🤖 Simple automation rule management - 🤖 Simple automation rule management
- 🔐 JWT-based authentication - 🔐 JWT-based authentication
- 🎤 Real-time device control and monitoring
- 🎤 Server-Sent Events (SSE) for live updates
- 🎤 Comprehensive logging
- 🎤 Optional speech features: - 🎤 Optional speech features:
- 🎤 Wake word detection ("hey jarvis", "ok google", "alexa") - 🗣️ Wake word detection ("hey jarvis", "ok google", "alexa")
- 🎤 Speech-to-text using fast-whisper - 🎯 Speech-to-text using fast-whisper
- 🎤 Multiple language support - 🌍 Multiple language support
- 🎤 GPU acceleration support - 🚀 GPU acceleration support
## System Architecture 📊
```mermaid
flowchart TB
subgraph Client["Client Applications"]
direction TB
Web["Web Interface"]
Mobile["Mobile Apps"]
Voice["Voice Control"]
end
subgraph MCP["MCP Server"]
direction TB
API["REST API"]
WS["WebSocket/SSE"]
Auth["Authentication"]
subgraph Speech["Speech Processing (Optional)"]
direction TB
Wake["Wake Word Detection"]
STT["Speech-to-Text"]
subgraph STT_Options["STT Options"]
direction LR
Whisper["Whisper"]
FastWhisper["Fast Whisper"]
end
Wake --> STT
STT --> STT_Options
end
end
subgraph HA["Home Assistant"]
direction TB
HASS_API["HASS API"]
HASS_WS["HASS WebSocket"]
Devices["Smart Devices"]
end
Client --> MCP
MCP --> HA
HA --> Devices
style Speech fill:#f9f,stroke:#333,stroke-width:2px
style STT_Options fill:#bbf,stroke:#333,stroke-width:1px
```
## Prerequisites 📋 ## Prerequisites 📋
- 🚀 Bun runtime (v1.0.26+) - 🚀 [Bun runtime](https://bun.sh) (v1.0.26+)
- 🏡 Home Assistant instance - 🏡 [Home Assistant](https://www.home-assistant.io/) instance
- 🐳 Docker (optional, recommended for deployment and speech features) - 🐳 Docker (optional, recommended for deployment)
- 🖥️ Node.js 18+ (optional, for speech features) - 🖥️ Node.js 18+ (optional, for speech features)
- 🖥️ NVIDIA GPU with CUDA support (optional, for faster speech processing) - 🎮 NVIDIA GPU with CUDA support (optional, for faster speech processing)
## Installation 🛠️ ## Quick Start 🚀
### Docker Deployment (Recommended)
1. Clone my repository:
```bash ```bash
# Clone the repository
git clone https://github.com/jango-blockchained/homeassistant-mcp.git git clone https://github.com/jango-blockchained/homeassistant-mcp.git
cd homeassistant-mcp cd homeassistant-mcp
# Copy environment template:
cp .env.example .env
# Edit .env with your Home Assistant credentials and speech features settings
# Build and start containers
docker compose up -d --build
``` ```
### Bare Metal Installation 2. Set up the environment:
```bash ```bash
# Install Bun # Make my setup script executable
curl -fsSL https://bun.sh/install | bash chmod +x scripts/setup-env.sh
# Clone the repository # Run setup (defaults to development)
git clone https://github.com/jango-blockchained/homeassistant-mcp.git ./scripts/setup-env.sh
cd homeassistant-mcp
# Install dependencies # Or specify an environment:
bun install NODE_ENV=production ./scripts/setup-env.sh
# Start the server # Force override existing files:
bun run dev ./scripts/setup-env.sh --force
``` ```
## Basic Usage 🖥️ 3. Configure your settings:
- Edit `.env` file with your Home Assistant details
- Required: Add your `HASS_TOKEN` (long-lived access token)
### Device Control Example 4. Launch with Docker:
```bash
```typescript docker compose up -d
// Turn on a light
const response = await fetch('http://localhost:3000/api/devices/light.living_room', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({ state: 'on' })
});
``` ```
### WebSocket State Updates ## Environment Configuration 🔧
```typescript I've implemented a hierarchical configuration system:
const ws = new WebSocket('ws://localhost:3000/devices');
ws.onmessage = (event) => {
const deviceState = JSON.parse(event.data);
console.log('Device state updated:', deviceState);
};
```
## Speech Features (Optional) ### File Structure 📁
1. `.env.example` - My template with all options
2. `.env` - Your configuration (copy from .env.example)
3. Environment overrides:
- `.env.dev` - Development settings
- `.env.prod` - Production settings
- `.env.test` - Test settings
The MCP Server includes optional speech processing capabilities: ### Loading Priority ⚡
Files load in this order:
1. `.env` (base config)
2. Environment-specific file:
- `NODE_ENV=development``.env.dev`
- `NODE_ENV=production``.env.prod`
- `NODE_ENV=test``.env.test`
Later files override earlier ones.
## Speech Features Setup 🎤
### Prerequisites ### Prerequisites
1. Docker installed and running 1. 🐳 Docker installed and running
2. NVIDIA GPU with CUDA support (optional) 2. 🎮 NVIDIA GPU with CUDA (optional)
3. At least 4GB RAM (8GB+ recommended for larger models) 3. 💾 4GB+ RAM (8GB+ recommended)
### Setup ### Configuration
1. Enable speech in `.env`:
1. Enable speech features in your .env:
```bash ```bash
ENABLE_SPEECH_FEATURES=true ENABLE_SPEECH_FEATURES=true
ENABLE_WAKE_WORD=true ENABLE_WAKE_WORD=true
@@ -109,67 +177,65 @@ WHISPER_MODEL_PATH=/models
WHISPER_MODEL_TYPE=base WHISPER_MODEL_TYPE=base
``` ```
2. Start the speech services: 2. Choose your STT engine:
```bash ```bash
docker-compose up -d # For standard Whisper
STT_ENGINE=whisper
# For Fast Whisper (GPU recommended)
STT_ENGINE=fast-whisper
CUDA_VISIBLE_DEVICES=0 # Set GPU device
``` ```
### Available Models ### Available Models 🤖
Choose based on your needs:
Choose a model based on your needs:
- `tiny.en`: Fastest, basic accuracy - `tiny.en`: Fastest, basic accuracy
- `base.en`: Good balance (recommended) - `base.en`: Good balance (recommended)
- `small.en`: Better accuracy, slower - `small.en`: Better accuracy, slower
- `medium.en`: High accuracy, resource intensive - `medium.en`: High accuracy, resource intensive
- `large-v2`: Best accuracy, very resource intensive - `large-v2`: Best accuracy, very resource intensive
### Usage ## Development 💻
1. Wake word detection listens for: ```bash
- "hey jarvis" # Install dependencies
- "ok google" bun install
- "alexa"
2. After wake word detection: # Run in development mode
- Audio is automatically captured bun run dev
- Speech is transcribed
- Commands are processed
3. Manual transcription is also available: # Run tests
```typescript bun test
const speech = speechService.getSpeechToText();
const text = await speech.transcribe(audioBuffer); # Run with hot reload
bun --hot run dev
# Build for production
bun build ./src/index.ts --target=bun
# Run production build
bun run start
``` ```
## Configuration ### Performance Comparison 📊
See [Configuration Guide](docs/configuration.md) for detailed settings. | Operation | Bun | Node.js |
|-----------|-----|---------|
| Install Dependencies | ~2s | ~15s |
| Cold Start | 300ms | 1000ms |
| Build Time | 150ms | 4000ms |
| Memory Usage | ~150MB | ~400MB |
## API Documentation ## Documentation 📚
See [API Documentation](docs/api/index.md) for available endpoints. - [Configuration Guide](docs/configuration.md)
- [API Documentation](docs/api.md)
- [Troubleshooting](docs/troubleshooting.md)
## Development ## Client Integration 🔗
See [Development Guide](docs/development/index.md) for contribution guidelines.
## License 📄
MIT License. See [LICENSE](LICENSE) for details.
## Support 🆘
- 🐞 [GitHub Issues](https://github.com/jango-blockchained/homeassistant-mcp/issues)
- 📖 Documentation: [Project Docs](https://jango-blockchained.github.io/homeassistant-mcp/)
## MCP Client Integration 🔗
This MCP server can be integrated with various clients that support the Model Context Protocol. Below are instructions for different client integrations:
### Cursor Integration 🖱️ ### Cursor Integration 🖱️
Add to `.cursor/config/config.json`:
The server can be integrated with Cursor by adding the configuration to `.cursor/config/config.json`:
```json ```json
{ {
"mcpServers": { "mcpServers": {
@@ -185,10 +251,8 @@ The server can be integrated with Cursor by adding the configuration to `.cursor
} }
``` ```
### Claude Desktop Integration 💬 ### Claude Desktop 💬
Add to your Claude config:
For Claude Desktop, add the following to your Claude configuration file:
```json ```json
{ {
"mcpServers": { "mcpServers": {
@@ -203,37 +267,15 @@ For Claude Desktop, add the following to your Claude configuration file:
} }
``` ```
### Cline Integration 📟 ### Command Line 💻
Windows users can use the provided script:
For Cline-based clients, add the following configuration: 1. Go to `scripts` directory
```json
{
"mcpServers": {
"homeassistant-mcp": {
"command": "bun",
"args": [
"run",
"start",
"--enable-cline",
"--config",
"${configDir}/.env"
],
"env": {
"NODE_ENV": "production",
"CLINE_MODE": "true"
}
}
}
}
```
### Command Line Usage 💻
#### Windows
A CMD script is provided in the `scripts` directory. To use it:
1. Navigate to the `scripts` directory
2. Run `start_mcp.cmd` 2. Run `start_mcp.cmd`
The script will start the MCP server with default configuration. ## License 📄
MIT License. See [LICENSE](LICENSE) for details.
## Author 👨‍💻
Created by [jango-blockchained](https://github.com/jango-blockchained)

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@@ -210,101 +210,220 @@ See the [Troubleshooting Guide](troubleshooting.md) for solutions.
# Configuration Guide # Configuration Guide
This document describes all available configuration options for the Home Assistant MCP Server. This document describes the environment configuration system for the Home Assistant MCP Server.
## Environment Variables ## Environment Setup
### Using the Setup Script
The MCP Server provides a setup script to help manage your environment configuration:
```bash
# Make the script executable
chmod +x scripts/setup-env.sh
# Basic usage (uses NODE_ENV or defaults to development)
./scripts/setup-env.sh
# Specify an environment
NODE_ENV=production ./scripts/setup-env.sh
# Force override existing files
./scripts/setup-env.sh --force
```
The setup script will:
1. Check for `.env.example` and create `.env` if it doesn't exist
2. Detect the environment (development/production/test)
3. Optionally override `.env` with environment-specific settings
4. Maintain your existing configuration unless forced to override
### Manual Setup
If you prefer to set up manually:
```bash
# Copy the example configuration
cp .env.example .env
# Then copy the appropriate environment override
cp .env.dev .env # For development
cp .env.prod .env # For production
cp .env.test .env # For testing
```
## Environment File Hierarchy
### Base Configuration Files
- `.env.example` - Template with all available options and documentation
- `.env` - Your main configuration file (copied from .env.example)
### Environment-Specific Files
- `.env.dev` - Development environment settings
- `.env.prod` - Production environment settings
- `.env.test` - Test environment settings
### Loading Order and Priority
Files are loaded in the following sequence, with later files overriding earlier ones:
1. `.env` (base configuration)
2. Environment-specific file based on NODE_ENV:
- `NODE_ENV=development``.env.dev`
- `NODE_ENV=production``.env.prod`
- `NODE_ENV=test``.env.test`
### Docker Environment Handling
When using Docker, the environment is loaded as follows:
1. `.env` file (base configuration)
2. `.env.${NODE_ENV}` file (environment-specific overrides)
3. Environment variables from docker-compose.yml
4. Command-line environment variables
Example docker-compose.yml configuration:
```yaml
services:
homeassistant-mcp:
env_file:
- .env
- .env.${NODE_ENV:-development}
environment:
- NODE_ENV=${NODE_ENV:-development}
- PORT=4000
- HASS_HOST
- HASS_TOKEN
- LOG_LEVEL=${LOG_LEVEL:-info}
```
Override examples:
```bash
# Override NODE_ENV
NODE_ENV=production docker compose up -d
# Override multiple variables
NODE_ENV=production LOG_LEVEL=debug docker compose up -d
```
## Configuration Options
### Required Settings ### Required Settings
```bash ```bash
# Server Configuration # Server Configuration
PORT=3000 # Server port PORT=4000 # Server port number
HOST=localhost # Server host NODE_ENV=development # Environment (development/production/test)
# Home Assistant # Home Assistant
HASS_URL=http://localhost:8123 # Home Assistant URL HASS_HOST=http://homeassistant.local:8123 # Home Assistant URL
HASS_TOKEN=your_token # Long-lived access token HASS_TOKEN=your_token_here # Long-lived access token
# Security # Security
JWT_SECRET=your_secret # JWT signing secret JWT_SECRET=your_secret_key # JWT signing secret
``` ```
### Optional Settings ### Optional Settings
#### Security
```bash ```bash
# Rate Limiting # Rate Limiting
RATE_LIMIT_WINDOW=60000 # Time window in ms (default: 60000) RATE_LIMIT_WINDOW=900000 # Time window in ms (15 minutes)
RATE_LIMIT_MAX=100 # Max requests per window (default: 100) RATE_LIMIT_MAX_REQUESTS=100 # Max requests per window
RATE_LIMIT_REGULAR=100 # Regular endpoint rate limit
RATE_LIMIT_WEBSOCKET=1000 # WebSocket connection rate limit
# Logging # CORS Configuration
LOG_LEVEL=info # debug, info, warn, error (default: info) CORS_ORIGINS=http://localhost:3000,http://localhost:8123
LOG_DIR=logs # Log directory (default: logs) CORS_METHODS=GET,POST,PUT,DELETE,OPTIONS
LOG_MAX_SIZE=10m # Max log file size (default: 10m) CORS_ALLOWED_HEADERS=Content-Type,Authorization,X-Requested-With
LOG_MAX_FILES=5 # Max number of log files (default: 5) CORS_EXPOSED_HEADERS=
CORS_CREDENTIALS=true
CORS_MAX_AGE=86400
# WebSocket/SSE # Cookie Security
WS_HEARTBEAT=30000 # WebSocket heartbeat interval in ms (default: 30000) COOKIE_SECRET=your_cookie_secret_key_min_32_chars
SSE_RETRY=3000 # SSE retry interval in ms (default: 3000) COOKIE_SECURE=true
COOKIE_HTTP_ONLY=true
# Speech Features COOKIE_SAME_SITE=Strict
ENABLE_SPEECH_FEATURES=false # Enable speech processing (default: false)
ENABLE_WAKE_WORD=false # Enable wake word detection (default: false)
ENABLE_SPEECH_TO_TEXT=false # Enable speech-to-text (default: false)
# Speech Model Configuration
WHISPER_MODEL_PATH=/models # Path to whisper models (default: /models)
WHISPER_MODEL_TYPE=base # Model type: tiny|base|small|medium|large-v2 (default: base)
WHISPER_LANGUAGE=en # Primary language (default: en)
WHISPER_TASK=transcribe # Task type: transcribe|translate (default: transcribe)
WHISPER_DEVICE=cuda # Processing device: cpu|cuda (default: cuda if available, else cpu)
# Wake Word Configuration
WAKE_WORDS=hey jarvis,ok google,alexa # Comma-separated wake words (default: hey jarvis)
WAKE_WORD_SENSITIVITY=0.5 # Detection sensitivity 0-1 (default: 0.5)
``` ```
## Speech Features #### Logging
```bash
# Logging Configuration
LOG_LEVEL=info # debug, info, warn, error
LOG_DIR=logs # Log directory
LOG_MAX_SIZE=20m # Max log file size
LOG_MAX_DAYS=14d # Log retention period
LOG_COMPRESS=true # Enable log compression
LOG_REQUESTS=true # Log HTTP requests
```
### Model Selection #### Speech Features
```bash
# Speech Processing
ENABLE_SPEECH_FEATURES=false # Master switch for speech features
ENABLE_WAKE_WORD=false # Enable wake word detection
ENABLE_SPEECH_TO_TEXT=false # Enable speech-to-text
WHISPER_MODEL_PATH=/models # Path to Whisper models
WHISPER_MODEL_TYPE=base # Whisper model type
Choose a model based on your needs: # Audio Configuration
NOISE_THRESHOLD=0.05
MIN_SPEECH_DURATION=1.0
SILENCE_DURATION=0.5
SAMPLE_RATE=16000
CHANNELS=1
CHUNK_SIZE=1024
PULSE_SERVER=unix:/run/user/1000/pulse/native
```
| Model | Size | Memory Required | Speed | Accuracy | ## Best Practices
|------------|-------|-----------------|-------|----------|
| tiny.en | 75MB | 1GB | Fast | Basic |
| base.en | 150MB | 2GB | Good | Good |
| small.en | 500MB | 4GB | Med | Better |
| medium.en | 1.5GB | 8GB | Slow | High |
| large-v2 | 3GB | 16GB | Slow | Best |
### GPU Acceleration 1. **Version Control**
- Never commit `.env` files to version control
- Always commit `.env.example` with documentation
- Consider committing `.env.dev` and `.env.test` for team development
When `WHISPER_DEVICE=cuda`: 2. **Security**
- NVIDIA GPU with CUDA support required - Use strong, unique values for secrets
- Significantly faster processing - Enable HTTPS in production
- Higher memory requirements - Keep tokens and secrets in `.env` only
### Wake Word Detection 3. **Development**
- Use `.env.dev` for shared development settings
- Keep `.env` for personal overrides
- Enable debug logging in development
- Multiple wake words supported via comma-separated list 4. **Production**
- Adjustable sensitivity (0-1): - Use `.env.prod` for production defaults
- Lower values: Fewer false positives, may miss some triggers - Set appropriate rate limits
- Higher values: More responsive, may have false triggers - Configure proper logging
- Default (0.5): Balanced detection - Enable all security features
### Best Practices 5. **Testing**
- Use `.env.test` for test configuration
- Use mock tokens and endpoints
- Enable detailed logging for debugging
1. Model Selection: ## Troubleshooting
- Start with `base.en` model
- Upgrade if better accuracy needed
- Downgrade if performance issues
2. Resource Management: ### Common Issues
- Monitor memory usage
- Use GPU acceleration when available
- Consider model size vs available resources
3. Wake Word Configuration: 1. **Missing Required Variables**
- Use distinct wake words - Error: "Missing required environment variable: HASS_TOKEN"
- Adjust sensitivity based on environment - Solution: Ensure HASS_TOKEN is set in your .env file
- Limit number of wake words for better performance
2. **Permission Issues**
- Error: "EACCES: permission denied, access '/app/logs'"
- Solution: Ensure proper permissions on the logs directory
3. **Invalid Configuration**
- Error: "Invalid configuration value for PORT"
- Solution: Check the value format in your .env file
4. **Environment Override Issues**
- Problem: Environment-specific settings not applying
- Solution: Check NODE_ENV value and file naming
See [Troubleshooting Guide](troubleshooting.md) for more solutions.

97
scripts/setup-env.sh Executable file
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#!/bin/bash
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# Function to print colored messages
print_message() {
local color=$1
local message=$2
echo -e "${color}${message}${NC}"
}
# Function to check if a file exists
check_file() {
if [ -f "$1" ]; then
return 0
else
return 1
fi
}
# Function to copy environment file
copy_env_file() {
local source=$1
local target=$2
if [ -f "$target" ]; then
print_message "$YELLOW" "Warning: $target already exists. Skipping..."
else
cp "$source" "$target"
if [ $? -eq 0 ]; then
print_message "$GREEN" "Created $target successfully"
else
print_message "$RED" "Error: Failed to create $target"
exit 1
fi
fi
}
# Main script
print_message "$GREEN" "Setting up environment files..."
# Check if .env.example exists
if ! check_file ".env.example"; then
print_message "$RED" "Error: .env.example not found!"
exit 1
fi
# Setup base environment file
if [ "$1" = "--force" ]; then
cp .env.example .env
print_message "$GREEN" "Forced creation of .env file"
else
copy_env_file ".env.example" ".env"
fi
# Determine environment
ENV=${NODE_ENV:-development}
case "$ENV" in
"development"|"dev")
ENV_FILE=".env.dev"
;;
"production"|"prod")
ENV_FILE=".env.prod"
;;
"test")
ENV_FILE=".env.test"
;;
*)
print_message "$RED" "Error: Invalid environment: $ENV"
exit 1
;;
esac
# Copy environment-specific file
if [ -f "$ENV_FILE" ]; then
if [ "$1" = "--force" ]; then
cp "$ENV_FILE" .env
print_message "$GREEN" "Forced override of .env with $ENV_FILE"
else
print_message "$YELLOW" "Do you want to override .env with $ENV_FILE? [y/N] "
read -r response
if [[ "$response" =~ ^([yY][eE][sS]|[yY])+$ ]]; then
cp "$ENV_FILE" .env
print_message "$GREEN" "Copied $ENV_FILE to .env"
else
print_message "$YELLOW" "Keeping existing .env file"
fi
fi
else
print_message "$YELLOW" "Warning: $ENV_FILE not found. Using default .env"
fi
print_message "$GREEN" "Environment setup complete!"
print_message "$YELLOW" "Remember to set your HASS_TOKEN in .env"