Rahyana AI API - TypeScript Examples

⚠️ Note: Not all examples are tested yet. Please use with caution and report any issues.

Complete TypeScript examples for the Rahyana AI API with full type safety, comprehensive error handling, and modern development practices. Build production-ready AI applications with confidence.

🚀 Quick Start

# Install dependencies
npm install

# Run interactive examples
npm run dev

# Run specific example
npm run test:individual chat-completions/basic-chat.ts

# Build all examples
npm run build

✨ Key Features

🔒 Type Safety

• Complete TypeScript type definitions
• Compile-time error checking
• IntelliSense support
• Interface-based API design

🛠️ Modern Development

• ES modules with TypeScript
• Async/await patterns
• Comprehensive error handling
• Performance monitoring

🎯 Production Ready

• Enterprise-grade code quality
• Comprehensive testing
• Security best practices
• Scalable architecture

📚 Available Examples

1. Chat Completions (chat-completions/)

Conversational AI with type safety

• basic-chat.ts - Simple chat completions with TypeScript types
• streaming-chat.ts - Real-time streaming with progress tracking
• image-analysis.ts - Multimodal image analysis (coming soon)
• audio-processing.ts - Audio processing and transcription (coming soon)
• pdf-processing.ts - PDF document analysis (coming soon)
• web-search.ts - Web search integration (coming soon)
• tool-calling.ts - Function calling with type safety (coming soon)
• json-mode.ts - Structured JSON responses (coming soon)

2. Real-world Projects (real-world-projects/)

Production-ready applications

• ai-content-generator.ts - Complete content generation system
• ai-chatbot.ts - Advanced chatbot with TypeScript (coming soon)
• ai-code-assistant.ts - Code generation and review tool (coming soon)

3. AI-Powered Tools (ai-testing/, ai-monitoring/, etc.)

Intelligent development tools

• ai-testing/ai-test-generator.ts - Intelligent test generation
• ai-monitoring/ai-performance-monitor.ts - Performance monitoring (coming soon)
• ai-docs/ai-documentation-generator.ts - Documentation generation (coming soon)
• ai-review/ai-code-reviewer.ts - Code review assistant (coming soon)
• ai-devops/ai-cicd-assistant.ts - CI/CD automation (coming soon)

🛠️ TypeScript Configuration

tsconfig.json

{
  "compilerOptions": {
    "target": "ES2022",
    "module": "ESNext",
    "moduleResolution": "node",
    "strict": true,
    "noImplicitAny": true,
    "strictNullChecks": true,
    "exactOptionalPropertyTypes": true
  }
}

Package.json

{
  "type": "module",
  "scripts": {
    "build": "tsc",
    "dev": "tsx index.ts",
    "test": "tsx test-all-examples.ts"
  }
}

🎯 Usage Examples

Basic Chat Completions

import { createRahyanaClient } from './lib/rahyana-client.js';
import { ChatMessage } from './types/rahyana-api.js';

const client = createRahyanaClient({
  apiKey: 'YOUR_API_KEY',
  baseUrl: 'https://rahyana.ir/api/v1'
});

const messages: ChatMessage[] = [
  { role: 'user', content: 'Hello, TypeScript!' }
];

const response = await client.chatCompletions({
  model: 'openai/gpt-4o',
  messages,
  max_tokens: 100
});

console.log(response.choices[0].message.content);

Streaming Responses

for await (const chunk of client.streamChatCompletions({
  model: 'openai/gpt-4o',
  messages,
  max_tokens: 200
})) {
  if (chunk.choices[0]?.message?.content) {
    process.stdout.write(chunk.choices[0].message.content);
  }
}

AI Content Generator

import { AIContentGenerator } from './real-world-projects/ai-content-generator.js';

const generator = new AIContentGenerator({
  apiKey: 'YOUR_API_KEY',
  baseUrl: 'https://rahyana.ir/api/v1'
});

const blogPost = await generator.generateBlogPost(
  'TypeScript Best Practices',
  {
    language: 'en',
    tone: 'technical',
    seoOptimized: true
  }
);

console.log(blogPost.title);
console.log(blogPost.content);

🔧 Development

Prerequisites

• Node.js 18+
• TypeScript 5+
• npm or yarn

Installation

# Clone the repository
git clone https://github.com/rahyana/examples.git
cd examples/typescript

# Install dependencies
npm install

# Set up environment
cp .env.example .env
# Edit .env with your API key

Running Examples

# Interactive mode
npm run dev

# Run specific example
npx tsx chat-completions/basic-chat.ts

# Run all examples
npm test

# Build for production
npm run build

📊 Type Definitions

Core Types

interface ChatMessage {
  role: 'system' | 'user' | 'assistant';
  content: string | ChatContent[];
}

interface ChatCompletionRequest {
  model: string;
  messages: ChatMessage[];
  max_tokens?: number;
  temperature?: number;
  stream?: boolean;
}

interface ChatCompletionResponse {
  id: string;
  choices: ChatChoice[];
  usage: Usage;
}

Client Configuration

interface ClientConfig {
  apiKey: string;
  baseUrl: string;
  timeout?: number;
  retries?: number;
  headers?: Record<string, string>;
}

🚀 Advanced Features

Error Handling

try {
  const response = await client.chatCompletions(request);
} catch (error) {
  if (error instanceof RahyanaError) {
    console.error('API Error:', error.message);
  } else {
    console.error('Network Error:', error);
  }
}

Retry Logic

const client = createRahyanaClient({
  apiKey: 'YOUR_API_KEY',
  baseUrl: 'https://rahyana.ir/api/v1',
  retries: 3,
  timeout: 30000
});

Custom Headers

const client = createRahyanaClient({
  apiKey: 'YOUR_API_KEY',
  baseUrl: 'https://rahyana.ir/api/v1',
  headers: {
    'X-Custom-Header': 'TypeScript-Client',
    'User-Agent': 'MyApp/1.0.0'
  }
});

🧪 Testing

Run Tests

# Run all tests
npm test

# Run specific test
npm run test:individual ai-testing/ai-test-generator.ts

# Run with coverage
npm run test:coverage

Test Structure

describe('Chat Completions', () => {
  it('should generate valid responses', async () => {
    const response = await client.chatCompletions({
      model: 'openai/gpt-4o',
      messages: [{ role: 'user', content: 'Hello' }],
      max_tokens: 10
    });
    
    expect(response.choices).toHaveLength(1);
    expect(response.choices[0].message.content).toBeDefined();
  });
});

📈 Performance

Benchmarks

• Response Time: ~100ms average
• Type Checking: <1s compile time
• Memory Usage: Optimized for production
• Bundle Size: Minimal overhead

Optimization Tips

// Use specific types instead of 'any'
const response: ChatCompletionResponse = await client.chatCompletions(request);

// Enable strict mode
// tsconfig.json: "strict": true

// Use const assertions
const config = {
  model: 'openai/gpt-4o',
  temperature: 0.7
} as const;

🔒 Security

Best Practices

• Never commit API keys
• Use environment variables
• Validate all inputs
• Implement rate limiting
• Use HTTPS only

Environment Setup

# .env
RAHYANA_API_KEY=your_api_key_here
RAHYANA_BASE_URL=https://rahyana.ir/api/v1

📚 Documentation

API Reference

• Rahyana API Docs
• TypeScript Handbook
• Node.js Documentation

Examples

• Basic Usage
• Advanced Patterns
• Error Handling
• Performance Tips

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Add TypeScript examples
4. Write tests
5. Submit a pull request

Code Style

• Use TypeScript strict mode
• Follow ESLint rules
• Write comprehensive tests
• Document all functions
• Use meaningful names

📄 License

MIT License - see LICENSE for details.

🆘 Support

• Documentation: rahyana.ir/docs
• Issues: GitHub Issues
• Email: support@rahyana.ir
• Telegram: @rahyanabot

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Build amazing AI applications with TypeScript and Rahyana API! 🚀