Backend Services & API

API Architecture

Key API Endpoints

GET
/api/v1/chatbots
POST
/api/v1/chatbots/{id}/message
GET
/api/v1/analytics/dashboard
POST
/api/v1/content/generate
PUT
/api/v1/campaigns/{id}

Backend Features

Microservices Architecture: Scalable, maintainable services with clear separation of concerns
JWT Authentication: Secure token-based authentication with role-based access control
Database Integration: PostgreSQL for relational data with Redis caching for performance
AI Integration: OpenAI API integration for chatbot, content generation, and analytics

API Usage Example

// Send a message to the chatbot const sendMessage = async () => { const response = await fetch('/api/v1/chatbots/3/message', { method: 'POST', headers: { 'Content-Type': 'application/json', 'Authorization': 'Bearer ${token}' }, body: JSON.stringify({ message: 'What marketing strategies do you recommend?', session_id: 'user_session_123' }) }); const data = await response.json(); console.log(data.message); };
Flask
SQLAlchemy
JWT
Redis
OpenAI