Advanced Usage
This guide covers advanced usage patterns and features of Eliza, including working with services, custom implementations, and advanced configuration options.
Video and Media Processing
Video Service
Eliza provides robust video processing capabilities through the VideoService class. Key features include:
- Downloading and processing videos from multiple sources (YouTube, Vimeo, direct MP4 links)
- Automatic transcription of video content
- Caching mechanisms for efficient processing
- Support for both manual and automatic captions
import { VideoService } from './services/video';
// Initialize the service
const videoService = VideoService.getInstance(runtime);
// Process a video URL
const media = await videoService.processVideo(videoUrl);
Image Processing
The ImageService provides advanced image analysis capabilities:
- Local and cloud-based image recognition
- Support for GIF processing (first frame extraction)
- Integration with multiple AI models for image analysis
- Caching and batch processing capabilities
Memory Management and Embeddings
Advanced Memory Operations
The system supports sophisticated memory operations through various database adapters:
// Search memories with embedding similarity
const similarMemories = await db.searchMemoriesByEmbedding(embedding, {
match_threshold: 0.95,
count: 5,
roomId: currentRoom,
tableName: "long_term_memory"
});
// Create unique memories with deduplication
await db.createMemory(memory, "episodic_memory", true);
Custom Database Adapters
You can implement custom database adapters by extending the DatabaseAdapter class:
class CustomDatabaseAdapter extends DatabaseAdapter {
async searchMemories(params: {
tableName: string;
roomId: UUID;
embedding: number[];
match_threshold: number;
match_count: number;
unique: boolean;
}): Promise<Memory[]> {
// Custom implementation
}
}
Speech and Transcription
Speech Service
The system includes a comprehensive speech service with support for:
- Text-to-speech conversion with multiple providers
- Voice customization options
- Streaming audio support
- PCM and WAV format handling
const speechService = new SpeechService();
const audioStream = await speechService.generate(runtime, text);
Advanced Transcription
The TranscriptionService provides:
- Local and cloud-based transcription options
- CUDA acceleration support
- Audio format conversion and normalization
- Debug logging and error handling
Trust Score System
The system includes a sophisticated trust score management system:
interface RecommenderMetrics {
trustScore: number;
totalRecommendations: number;
successfulRecs: number;
avgTokenPerformance: number;
riskScore: number;
consistencyScore: number;
virtualConfidence: number;
}
Key features include:
- Historical metrics tracking
- Performance analysis
- Risk assessment
- Consistency evaluation
Browser Automation
The BrowserService provides advanced web interaction capabilities:
- CAPTCHA handling
- Ad blocking
- Content extraction
- Proxy support
- Cache management
const browserService = BrowserService.getInstance(runtime);
const content = await browserService.getPageContent(url);
Best Practices
Memory Management
- Implement proper memory cleanup and garbage collection
- Use the caching system effectively
- Monitor memory usage in long-running processes
Error Handling
- Implement comprehensive error handling
- Use the logging system effectively
- Monitor system performance
Performance Optimization
- Use batch processing when possible
- Implement proper caching strategies
- Monitor and optimize database queries
Configuration Options
Environment Variables
Key configuration options include:
CUDA_PATH=/usr/local/cuda # For GPU acceleration
OPENAI_API_KEY=sk-... # For OpenAI integration
ELEVENLABS_API_KEY=... # For voice synthesis
Runtime Configuration
The runtime can be configured with various options:
const runtime = {
character: {
settings: {
model: "gpt-4",
temperature: 0.7,
maxTokens: 2048
}
},
// Additional configuration options
};
Advanced Features
Custom Actions
Implement custom actions for specialized behavior:
class CustomAction extends BaseAction {
async execute(context: ActionContext): Promise<ActionResult> {
// Custom implementation
return {
success: true,
data: {}
};
}
}
Custom Evaluators
Create specialized evaluators for specific use cases:
class CustomEvaluator extends BaseEvaluator {
async evaluate(context: EvaluatorContext): Promise<EvaluationResult> {
// Custom evaluation logic
return {
score: 0.95,
confidence: 0.8
};
}
}
Security Considerations
- Implement proper input validation
- Use secure token management
- Monitor system access
- Implement rate limiting
- Use proper encryption for sensitive data
Troubleshooting
Common issues and solutions:
-
Memory leaks
- Monitor memory usage
- Implement proper cleanup
- Use garbage collection
-
Performance issues
- Optimize database queries
- Implement proper caching
- Use batch processing
-
Integration issues
- Check API keys and permissions
- Verify network connectivity
- Monitor API rate limits