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:
- Llama 3.1 (405B): Meta's largest model
- Llama 3.3 (70B): Balanced performance
- Llama 3.2 (3B): Ultra-fast, lightweight
- DeepSeek R1: Reasoning-optimized
- Qwen 2.5 (72B): Multilingual
- 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 accountschatbot_selections- Chatbot configschatbot_history- Conversationsfiles/files_secondary- Uploaded filessystem_prompts_user- Promptsprojectid_creation- Project metadatatrash_collection_name- Deleted chatbotsorganisation_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
🔗 Related Documentation¶
Backend:
- Payment Service
- Response Services - AI integrations
- Client Data Service
Technical:
"Best-of-breed integrations, zero complexity." 🔌🚀