Overview
This section provides comprehensive code examples and implementations for integrating with the SundayPyjamas AI Suite API. All examples are production-ready and include proper error handling, authentication, and best practices.Choose your preferred programming language to get started with complete, runnable examples.
Available Examples
JavaScript/TypeScript
Node.js and browser examples with React components, streaming responses, and TypeScript support
Python
Comprehensive Python integration with async support, batch processing, and CLI tools
cURL
Command-line examples for testing, automation, and shell scripting
Quick Start Examples
Get started immediately with these simple examples:- JavaScript
- Python
- cURL
Example Applications
Content Generation Tools
Blog Post Generator
Blog Post Generator
Create engaging blog posts with customizable tone, length, and audience targeting.Features:
- Dynamic prompt generation
- Content structure templates
- SEO optimization
- Multiple output formats
Email Writer
Email Writer
Generate professional emails for various purposes and audiences.Features:
- Template-based generation
- Tone customization
- Recipient personalization
- Follow-up sequences
Marketing Copy Generator
Marketing Copy Generator
Create compelling marketing copy that drives conversions.Features:
- Audience targeting
- A/B testing variants
- Call-to-action optimization
- Brand voice consistency
Interactive Applications
Chat Interface
Chat Interface
Build conversational AI interfaces with real-time streaming.Features:
- Real-time streaming responses
- Message history management
- React component examples
- Mobile-responsive design
Command-Line Tools
Command-Line Tools
Create powerful CLI applications for batch processing and automation.Features:
- Interactive chat mode
- Batch processing
- Progress tracking
- Configuration management
Web Applications
Web Applications
Full-featured web applications with API integration.Features:
- Express.js server examples
- Authentication middleware
- Error handling
- Rate limiting
Advanced Use Cases
Batch Processing
Batch Processing
Process multiple requests efficiently with queue management.Features:
- Concurrent request handling
- Progress tracking
- Error recovery
- Performance optimization
Streaming Chat
Streaming Chat
Real-time streaming responses for better user experience.Features:
- Progressive response display
- Cancellation support
- Error handling
- Performance monitoring
Content Pipelines
Content Pipelines
Automated content generation workflows.Features:
- Multi-step processing
- Quality control
- Template management
- Output formatting
Implementation Features
All examples include these production-ready features:Error Handling
Comprehensive error handling with retry logic and graceful degradation
Authentication
Secure API key management and best practices
Rate Limiting
Built-in rate limiting and usage optimization
Streaming Support
Real-time streaming responses for better UX
TypeScript Support
Full TypeScript definitions and type safety
Testing
Unit tests and integration examples
Documentation
Inline documentation and usage examples
Monitoring
Usage tracking and performance monitoring
Best Practices Covered
Security
- Environment variable management
- API key protection
- Input validation and sanitization
- HTTPS enforcement
Performance
- Connection pooling
- Request batching
- Caching strategies
- Memory optimization
Reliability
- Exponential backoff
- Circuit breaker patterns
- Timeout handling
- Graceful degradation
Monitoring
- Usage tracking
- Error logging
- Performance metrics
- Alert systems
Environment Setup
Prerequisites
- JavaScript/Node.js
- Python
- Environment Variables
package.json
Testing Your Setup
Verify your environment is configured correctly:Contributing Examples
We welcome contributions to improve and expand our examples:Submit Examples
Share your own implementations and use cases
Report Issues
Help us fix bugs and improve documentation
Request Features
Suggest new examples or improvements
Join Community
Connect with other developers using the API

