---
sidebar_position: 10
---

# 🔧 Advanced Usage Guide

This guide covers advanced features and capabilities of Eliza, including complex integrations, custom services, and specialized plugins.

## Service Integration

### Video Processing Service

Eliza supports advanced video processing capabilities through the `VideoService`:

```typescript
import { VideoService } from '@elizaos/core/plugin-node';

// Initialize service
const videoService = new VideoService();

// Process video content
const result = await videoService.processVideo(url, runtime);
```

Key features:

- Automatic video downloading
- Transcription support
- Subtitle extraction
- Cache management
- Queue processing

### Image Processing

The `ImageDescriptionService` provides advanced image analysis:

```typescript
import { ImageDescriptionService } from '@elizaos/core/plugin-node';

const imageService = new ImageDescriptionService();
const description = await imageService.describeImage(imageUrl, 'gpu', runtime);
```

Features:

- Local and cloud processing options
- CUDA acceleration support
- Automatic format handling
- GIF frame extraction

## Blockchain Integration

### Solana Integration

The Solana plugin provides comprehensive blockchain functionality:

```typescript
import { solanaPlugin } from '@elizaos/core/plugin-solana';

// Initialize plugin
runtime.registerPlugin(solanaPlugin);
```

#### Token Operations

```typescript
// Buy tokens
const swapResult = await swapToken(
  connection,
  walletPublicKey,
  inputTokenCA,
  outputTokenCA,
  amount
);

// Sell tokens
const sellResult = await sellToken({
  sdk,
  seller: walletKeypair,
  mint: tokenMint,
  amount: sellAmount,
  priorityFee,
  allowOffCurve: false,
  slippage: '1',
  connection,
});
```

#### Trust Score System

```typescript
const trustScoreManager = new TrustScoreManager(tokenProvider, trustScoreDb);

// Generate trust scores
const score = await trustScoreManager.generateTrustScore(
  tokenAddress,
  recommenderId,
  recommenderWallet
);

// Monitor trade performance
await trustScoreManager.createTradePerformance(runtime, tokenAddress, userId, {
  buy_amount: amount,
  is_simulation: false,
});
```

## Custom Services

### Speech Generation

Implement text-to-speech capabilities:

```typescript
class SpeechService extends Service implements ISpeechService {
  async generate(runtime: IAgentRuntime, text: string): Promise<Readable> {
    if (runtime.getSetting('ELEVENLABS_XI_API_KEY')) {
      return textToSpeech(runtime, text);
    }

    const { audio } = await synthesize(text, {
      engine: 'vits',
      voice: 'en_US-hfc_female-medium',
    });

    return Readable.from(audio);
  }
}
```

### PDF Processing

Handle PDF document analysis:

```typescript
class PdfService extends Service {
  async convertPdfToText(pdfBuffer: Buffer): Promise<string> {
    const pdf = await getDocument({ data: pdfBuffer }).promise;
    const numPages = pdf.numPages;
    const textPages = [];

    for (let pageNum = 1; pageNum <= numPages; pageNum++) {
      const page = await pdf.getPage(pageNum);
      const textContent = await page.getTextContent();
      const pageText = textContent.items
        .filter(isTextItem)
        .map((item) => item.str)
        .join(' ');
      textPages.push(pageText);
    }

    return textPages.join('\n');
  }
}
```

## Advanced Memory Management

### Retrievable Memory System

```typescript
class MemoryManager {
  async getMemories({
    agentId,
    roomId,
    count,
  }: {
    agentId: string;
    roomId: string;
    count: number;
  }): Promise<Memory[]> {
    // Implement memory retrieval logic
  }

  async createMemory(memory: Memory, allowDuplicates: boolean = false): Promise<void> {
    // Implement memory storage logic
  }
}
```

### Trust Score Database

Implement advanced scoring systems:

```typescript
class TrustScoreDatabase {
  async calculateValidationTrust(tokenAddress: string): number {
    const sql = `
      SELECT rm.trust_score
      FROM token_recommendations tr
      JOIN recommender_metrics rm ON tr.recommender_id = rm.recommender_id
      WHERE tr.token_address = ?;
    `;

    const rows = this.db.prepare(sql).all(tokenAddress);
    if (rows.length === 0) return 0;

    const totalTrust = rows.reduce((acc, row) => acc + row.trust_score, 0);
    return totalTrust / rows.length;
  }
}
```

## Plugin Development

### Creating Custom Plugins

```typescript
const customPlugin: Plugin = {
  name: 'custom-plugin',
  description: 'Custom Plugin for Eliza',
  actions: [
    // Custom actions
  ],
  evaluators: [
    // Custom evaluators
  ],
  providers: [
    // Custom providers
  ],
};
```

### Advanced Action Development

```typescript
export const complexAction: Action = {
  name: 'COMPLEX_ACTION',
  similes: ['ALTERNATIVE_NAME', 'OTHER_NAME'],
  validate: async (runtime: IAgentRuntime, message: Memory) => {
    // Implement validation logic
    return true;
  },
  handler: async (
    runtime: IAgentRuntime,
    message: Memory,
    state: State,
    options: { [key: string]: unknown },
    callback?: HandlerCallback
  ): Promise<boolean> => {
    // Implement complex handling logic
    return true;
  },
};
```

## Advanced Configuration

### Custom Runtime Configuration

```typescript
const customRuntime = new AgentRuntime({
  databaseAdapter: new PostgresDatabaseAdapter(config),
  modelProvider: new OpenAIProvider(apiKey),
  plugins: [solanaPlugin, customPlugin],
  services: [new VideoService(), new ImageDescriptionService(), new SpeechService()],
});
```

### Advanced Model Configuration

```typescript
const modelConfig = {
  modelClass: ModelClass.LARGE,
  temperature: 0.7,
  maxTokens: 2000,
  topP: 0.9,
  frequencyPenalty: 0.5,
  presencePenalty: 0.5,
};

const response = await generateText({
  runtime,
  context: prompt,
  ...modelConfig,
});
```

## Performance Optimization

### Caching Strategy

```typescript
class CacheManager {
  private cache: NodeCache;
  private cacheDir: string;

  constructor() {
    this.cache = new NodeCache({ stdTTL: 300 });
    this.cacheDir = path.join(__dirname, 'cache');
    this.ensureCacheDirectoryExists();
  }

  private async getCachedData<T>(key: string): Promise<T | null> {
    // Implement tiered caching strategy
  }
}
```

### Queue Management

```typescript
class QueueManager {
  private queue: string[] = [];
  private processing: boolean = false;

  async processQueue(): Promise<void> {
    if (this.processing || this.queue.length === 0) {
      return;
    }

    this.processing = true;
    while (this.queue.length > 0) {
      const item = this.queue.shift();
      await this.processItem(item);
    }
    this.processing = false;
  }
}
```

## Best Practices

### Error Handling

```typescript
try {
  const result = await complexOperation();
  if (!result) {
    throw new Error('Operation failed');
  }
  return result;
} catch (error) {
  console.error('Error in operation:', error);
  await errorReporting.log(error);
  throw new OperationalError('Failed to complete operation', {
    cause: error,
  });
}
```

### Resource Management

```typescript
class ResourceManager {
  private resources: Map<string, Resource> = new Map();

  async acquire(id: string): Promise<Resource> {
    // Implement resource acquisition with timeout
  }

  async release(id: string): Promise<void> {
    // Implement resource cleanup
  }
}
```

## Troubleshooting

### Common Issues

1. Memory Leaks

   - Monitor memory usage
   - Implement proper cleanup
   - Use WeakMap for caching

2. Performance Bottlenecks

   - Profile slow operations
   - Implement batching
   - Use connection pooling

3. Integration Issues
   - Verify API credentials
   - Check network connectivity
   - Validate request formatting

### Debugging

```typescript
const debug = require('debug')('eliza:advanced');

debug('Detailed operation info: %O', {
  operation: 'complexOperation',
  parameters: params,
  result: result,
});
```

---

## FAQ

### How does memory management work in ElizaOS?

ElizaOS uses RAG (Retrieval-Augmented Generation) to convert prompts into vector embeddings for efficient context retrieval and memory storage.

### How do I load custom knowledge/documents?

Convert documents using the folder2knowledge tool and add them to your character's knowledge section. Use RAG by setting `ragKnowledge: true`.

### How do I fix "Cannot generate embedding: Memory content is empty"?

Check your database for null memory entries and ensure proper content formatting when storing new memories.

### How do I prevent unwanted Twitter interactions?

To better control what tweets your agent responds to, configure `TWITTER_TARGET_USERS` in `.env` and set specific action flags like `TWITTER_LIKES_ENABLE=false` to control interaction types.

### How do I troubleshoot Twitter authentication issues?

Ensure correct credentials in `.env`, mark account as "Automated" in Twitter settings, and consider using a residential IP to avoid blocks.

### How do I make my agent respond to Twitter replies?

Set `TWITTER_INTERACTION_ENABLE=true` and configure `TWITTER_POLL_INTERVAL`. Target specific users for guaranteed responses.

### How do I avoid Twitter bot suspensions?

- Mark account as automated in Twitter settings
- Space out posts (15-20 minutes between interactions)
- Avoid using proxies

### How do I fix Twitter authentication issues?

- Ensure correct credentials in .env file
- Use valid TWITTER_COOKIES format
- Turn on "Automated" in Twitter profile settings

---

## Further Resources

- [Infrastructure Guide](../advanced/infrastructure.md) for deployment
- [Trust Engine Documentation](../advanced/trust-engine.md) for scoring system
- [Autonomous Trading Guide](../advanced/autonomous-trading.md) for trading features
- [Fine-tuning Guide](../guides/fine-tuning.md) for model optimization
- [Eliza in TEE](../advanced/eliza-in-tee.md) for TEE integration