5CRSE5CRSEDocumentation
← Back to site

#AI Integration for 5CRSE CMS

This document provides an overview of the AI integration implemented for the 5CRSE CMS platform.

#Architecture Overview

The AI integration follows a modular, provider-agnostic approach that allows for easy switching between different AI providers and seamless integration of voice processing capabilities.

graph TB
    subgraph "Frontend Interfaces"
        SI[Stakeholder Interface]
        CS[Customer Service Interface]
        UI[User Interface]
    end
    
    subgraph "Core AI Services"
        AIMS[AI Model Selector]
        OCH[Orchestration Handler]
        VP[Voice Processor]
    end
    
    subgraph "AI Providers"
        OAI[OpenAI]
        ANT[Anthropic]
        COH[Cohere]
        OSS[Open Source Models]
    end
    
    subgraph "Data Storage"
        DB[(CMS Database)]
        AICOL[AI Interactions Collection]
    end
    
    SI --> OCH
    CS --> OCH
    UI --> OCH
    
    OCH --> AIMS
    OCH --> VP
    
    AIMS --> OAI
    AIMS --> ANT
    AIMS --> COH
    AIMS --> OSS
    
    OCH --> DB
    DB --> AICOL

#Components Implemented

#1. Provider-Agnostic AI Core

  • AIModelInterface: Defines a common interface for all AI models
  • AIModelSelector: Manages multiple AI models with fallback capabilities
  • OpenAIAdapter: Implementation for OpenAI models (GPT-4, etc.)

#2. Voice Processing

  • VoiceProcessingInterfaces: Defines interfaces for STT and TTS providers
  • VoiceProcessor: Manages multiple voice processing providers

#3. Database Integration

  • AIInteractions Collection: Stores AI interactions in Payload CMS

#Usage Examples

#Using the AI Service

import { AIService } from '../services/ai/AIService';

// Create an AI service instance
const aiService = new AIService();

// Get a response from the AI
const response = await aiService.getResponse("What events are happening this weekend?", {
  model: "gpt-4-turbo",
  userId: "user123",
  interactionId: "interaction789",
});

console.log(response.content); // The AI's response
console.log(response.metadata); // Metadata about the interaction

#Using the Voice Processor

import { voiceProcessor } from '../services/voice/VoiceProcessor';

// Transcribe audio to text
const transcription = await voiceProcessor.transcribe(audioBuffer, {
  language: 'en-US',
});

// Synthesize text to speech
const audioBuffer = await voiceProcessor.synthesize("Hello, how can I help you today?", {
  voice: "default",
});

#Configuration

The following environment variables are needed for the AI services:

# AI Provider - OpenAI
OPENAI_API_KEY=your-openai-api-key
OPENAI_MODEL=gpt-4-turbo

# Voice Processing
ELEVENLABS_API_KEY=your-elevenlabs-api-key
ELEVENLABS_DEFAULT_VOICE=voice-id

#Future Enhancements

  1. Additional AI Adapters: Implement adapters for Anthropic Claude, Cohere, and other AI providers
  2. Enhanced Voice Processing: Add more STT/TTS providers and improve voice quality
  3. AI Analytics: Add analytics for tracking AI usage and performance
  4. Context-Aware Responses: Enhance the AI with more context from the CMS data
  5. Fine-Tuned Models: Implement domain-specific fine-tuning for better responses

#Troubleshooting

If you encounter issues with the AI integration, check the following:

  1. Ensure all required environment variables are set
  2. Check the server logs for error messages
  3. Verify that the AI provider services are available
  4. Check your API key permissions and rate limits

#References