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Integrations & Third-Party Services

Category: Platform Connectivity
Target Users: All users (varies by feature)
Business Value: Seamless ecosystem integration


🎯 Overview

MachineAvatars integrates with leading services to provide best-in-class functionality without reinventing the wheel. From payments to AI models to content management.


💳 Payment Integrations

Razorpay

What it does:
Payment processing, subscription management, and invoicing.

Features:

  • Payment Methods: Cards, UPI, Net Banking, Wallets
  • Subscriptions: Auto-renewal, upgrades, downgrades
  • Invoices: Auto-generated, GST-compliant
  • Refunds: Automated processing
  • Webhooks: Real-time payment status

Supported:

  • Indian payments (INR)
  • International payments (USD)
  • Multi-currency
  • Tax/GST handling

Technical:

  • Integration: Razorpay API v2
  • Backend: payment-service (Port 8006)
  • Webhooks: Payment confirmation, subscription updates
  • Security: PCI DSS compliant

Setup:

  • API Key (from Razorpay dashboard)
  • Webhook secret
  • Plan configuration
  • Test mode vs Live mode

🤖 AI & Machine Learning

Azure OpenAI

What it does:
Powers LLM-based conversations with GPT models.

Models Available:

  • GPT-4 Turbo: Most capable (128K context)
  • GPT-4: Advanced reasoning (8K context)
  • GPT-3.5 Turbo: Fast and efficient (16K context)

Features:

  • Stream responses
  • Temperature control
  • System prompts
  • Function calling
  • Token counting

Pricing:

  • GPT-4 Turbo: $10/1M tokens (input), $30/1M (output)
  • GPT-3.5 Turbo: $0.50/1M tokens (input), $1.50/1M (output)

Open-Source LLMs (via Together AI / Groq)

What it does:
Alternative LLM options for cost savings or specific needs.

Models:

  1. Llama 3.1 (405B): Meta's largest model
  2. Llama 3.3 (70B): Balanced performance
  3. Llama 3.2 (3B): Ultra-fast, lightweight
  4. DeepSeek R1: Reasoning-optimized
  5. Qwen 2.5 (72B): Multilingual
  6. Mistral Large: European AI excellence

Benefits:

  • Lower cost (5-10x cheaper than GPT-4)
  • Data privacy (on-premise deployment)
  • Specialization (coding, reasoning, multilingual)

Azure Cognitive Services

Text-to-Speech (TTS):

  • 10 premium neural voices
  • Realistic prosody
  • SSML support
  • Multi-language

Speech-to-Text (STT):

  • Web Speech API (browser-side)
  • Real-time transcription
  • Noise reduction

OpenAI Embeddings

What it does:
Convert text to vector representations for semantic search.

Model:

  • text-embedding-ada-002
  • 1536 dimensions
  • $0.10 per 1M tokens

Use Cases:

  • RAG knowledge base
  • Semantic search
  • Similarity matching
  • Clustering

🗄️ Database & Storage

MongoDB Atlas

What it does:
Primary database for all application data.

Collections:

  • users - User accounts
  • chatbot_selections - Chatbot configs
  • chatbot_history - Conversations
  • files / files_secondary - Uploaded files
  • system_prompts_user - Prompts
  • projectid_creation - Project metadata
  • trash_collection_name - Deleted chatbots
  • organisation_data - Enterprise orgs

Features:

  • Auto-scaling
  • Backups (daily)
  • Indexes for performance
  • Partitioning by user_id / project_id

Technical:

  • Cloud provider: Azure
  • Region: Central India
  • Version: 6.0+
  • Connection: Connection string from Atlas

Milvus Vector Database

What it does:
Store and search vector embeddings for RAG.

Features:

  • High-speed similarity search (<50ms)
  • Partitioning by project_id
  • Cosine similarity
  • Top-K retrieval
  • Metadata filtering

Collections:

  • One collection per chatbot type
  • Partitions for multi-tenancy
  • Indexed by vector + metadata

Technical:

  • Deployment: Azure Container Instance
  • Index type: IVF_FLAT
  • Metric: Cosine similarity
  • Dimensions: 1536

🌐 Content Management

Strapi CMS

What it does:
Manage homepage and landing page content dynamically.

Content Types:

  • Hero sections
  • Feature blocks
  • Pricing tables
  • Testimonials
  • FAQs
  • Blog posts

Features:

  • Headless CMS
  • REST API
  • Media library
  • SEO metadata
  • Version control

Integration:

  • Frontend: DynamicPageRenderer component
  • Backend: Strapi API (Port 1337)
  • Caching: Client-side caching

Benefits:

  • Non-technical content updates
  • A/B testing
  • Localization support

📊 Analytics & Monitoring

Google Analytics

What it does:
Track website traffic and user behavior.

Events Tracked:

  • Page views
  • Button clicks
  • Chatbot interactions
  • Form submissions
  • Conversions

Goals:

  • Signup conversion
  • Payment completion
  • Chatbot creation
  • Feature usage

Application Monitoring (Planned)

DataDog / NewRelic:

  • Error tracking
  • Performance monitoring
  • Log aggregation
  • Uptime alerts

🔗 Communication

Email Service (Planned Gmail/SendGrid)

What it does:
Send transactional emails.

Email Types:

  • Welcome email
  • OTP verification
  • Password reset
  • Invoice
  • Usage alerts
  • Weekly reports

Features:

  • Templates
  • Personalization
  • Delivery tracking
  • Bounce handling

SMS Service (Planned Twilio)

What it does:
OTP via SMS (alternative to email).

Features:

  • International delivery
  • Fallback OTP
  • Multi-factor auth

🔧 Developer Tools

Git & GitHub

What it does:
Version control for all code.

Repositories:

  • machineagents-be (Backend)
  • machineagents-fe (Frontend)
  • superadmin-fe (Admin portal)
  • machineagents-docs (Documentation)

CI/CD:

  • GitHub Actions (planned)
  • Auto-deploy on merge

Docker

What it does:
Containerization for all microservices.

Containers:

  • 23 backend services
  • Gateway service
  • Databases (dev/staging)

Benefits:

  • Consistent environments
  • Easy deployment
  • Isolation
  • Scalability

📦 CDN & Hosting

Azure App Service

What it does:
Host frontend and backend services.

Features:

  • Auto-scaling
  • Load balancing
  • SSL/TLS
  • Custom domains

Azure Blob Storage (Planned)

What it does:
Store static assets and generated media.

Use Cases:

  • Avatar assets
  • Generated audio files
  • Uploaded documents
  • Cached responses

🔒 Security & Compliance

reCAPTCHA v2

What it does:
Prevent bot signups and spam.

Implementation:

  • Signup page
  • Login page (after failed attempts)
  • Contact forms

Technical:

  • Google reCAPTCHA service
  • Server-side verification

SSL/TLS Certificates

What it does:
Encrypt all traffic.

Provider:

  • Azure-managed certificates
  • Auto-renewal
  • Wildcard support

🔌 API Integration Options

Webhook Support

What it does:
Receive real-time notifications from MachineAvatars.

Events:

  • New chat session started
  • Lead collected
  • Chatbot created
  • Payment received
  • Usage limit reached

Configuration:

  • Webhook URL
  • Secret key
  • Event selection
  • Retry logic

Payload:

{
  "event": "lead_collected",
  "timestamp": "2025-01-01T10:00:00Z",
  "data": {
    "project_id": "abc123",
    "lead": {...}
  }
}

Zapier Integration (Roadmap)

What it does:
Connect MachineAvatars to 5,000+ apps without code.

Use Cases:

  • New lead → Add to Google Sheets
  • Chat session → Notify Slack
  • Payment → Update Salesforce

Make (Integromat) (Roadmap)

What it does:
Visual automation builder.

Features:

  • More advanced than Zapier
  • Conditional logic
  • Data transformation

🌍 Localization (Planned)

Multi-Language Support

Current: English-optimized

Roadmap:

  • Spanish
  • French
  • Hindi
  • Mandarin

Implementation:

  • i18n framework
  • Translation management
  • LLM multilingual models

🔗 CRM Integrations (Roadmap)

Planned:

  • Salesforce: Enterprise CRM
  • HubSpot: Marketing automation
  • Pipedrive: Sales pipeline
  • Zoho CRM: SMB solution

Features:

  • Auto-create leads
  • Sync conversations
  • Update contact records
  • Trigger workflows

Backend:

Technical:


"Best-of-breed integrations, zero complexity." 🔌🚀