System Overview
Freyavoice AI is built on a modern, scalable architecture designed to handle high-volume voice AI applications while maintaining low latency and high reliability.High-Level Architecture
The platform consists of several key layers:Application Layer
The application layer is where you interact with Freyavoice AI. This includes:- Dashboard: Web-based interface for managing agents, workflows, and settings
- API: RESTful API for programmatic access
- Webhooks: Event notifications for call events and status updates
Orchestration Layer
The orchestration layer manages call flow and coordinates between different components:- Call Router: Determines which agent or workflow should handle each call
- Session Manager: Maintains call state and context throughout the conversation
- Workflow Engine: Executes workflow logic, manages node execution, and handles branching
AI Processing Layer
The AI processing layer handles all AI-related operations:- LLM Integration: Connects to various language models (GPT-4, Claude, etc.)
- Prompt Management: Handles system prompts, context management, and prompt optimization
- Function Execution: Manages agent function calls and external API integrations
- Response Generation: Converts AI responses into appropriate formats
Telephony Layer
The telephony layer manages all phone-related operations:- SIP Handling: Processes SIP protocol for call setup and teardown
- Audio Processing: Handles audio encoding, decoding, and streaming
- Call Control: Manages call state, transfers, and routing
- Provider Integration: Interfaces with telephony providers like Twilio
Data Layer
The data layer stores and manages all persistent data:- Call Records: Complete call history, transcripts, and recordings
- Agent Configurations: Agent settings, prompts, and function definitions
- Workflow Definitions: Workflow structures, node configurations, and connections
- Analytics Data: Metrics, performance data, and usage statistics
Component Interactions
Call Flow Architecture
When a call comes in, here’s how components interact:- Telephony Layer receives the call and creates a call session
- Orchestration Layer identifies the target agent or workflow
- Session Manager loads or creates a conversation context
- AI Processing Layer processes each turn of conversation
- Function Execution calls external APIs if needed
- Telephony Layer streams audio back to the caller
- Data Layer stores all interactions and metadata
Workflow Execution Architecture
For workflows, the execution is more complex:- Workflow Engine loads the workflow definition
- Node Executor processes each node in sequence
- Condition Evaluator determines routing paths
- Agent Invoker activates agents when needed
- Function Executor runs custom functions
- State Manager maintains workflow state
- Data Layer logs all workflow execution steps
Scalability Architecture
Freyavoice AI is designed to scale horizontally:Horizontal Scaling
- Stateless Services: Most services are stateless, allowing easy scaling
- Load Balancing: Requests are distributed across multiple instances
- Session Affinity: Call sessions are maintained through sticky sessions or shared state
- Auto-scaling: Services automatically scale based on load
Database Scaling
- Read Replicas: Database reads are distributed across replicas
- Sharding: Data can be sharded by workspace or other dimensions
- Caching: Frequently accessed data is cached for performance
- Connection Pooling: Database connections are pooled efficiently
Telephony Scaling
- Provider Distribution: Calls are distributed across multiple telephony providers
- Regional Routing: Calls are routed to the nearest infrastructure
- Failover: Automatic failover to backup providers if needed
Security Architecture
Security is built into every layer:Authentication & Authorization
- JWT Tokens: API requests are authenticated using JWT tokens
- Workspace Isolation: Each workspace is isolated from others
- Role-Based Access: Fine-grained permissions control what users can do
- API Keys: Secure API keys for programmatic access
Data Security
- Encryption at Rest: All data is encrypted when stored
- Encryption in Transit: All communications use TLS/SSL
- PII Handling: Personal information is handled according to privacy regulations
- Audit Logging: All actions are logged for security auditing
Network Security
- VPC Isolation: Services run in isolated network segments
- Firewall Rules: Strict firewall rules control network access
- DDoS Protection: Protection against distributed denial of service attacks
- Rate Limiting: API rate limiting prevents abuse
Reliability Architecture
Freyavoice AI is designed for high availability:Redundancy
- Multi-Region Deployment: Services are deployed across multiple regions
- Active-Active Setup: Multiple active instances handle traffic
- Database Replication: Databases are replicated for redundancy
- Provider Redundancy: Multiple telephony providers prevent single points of failure
Fault Tolerance
- Circuit Breakers: Prevent cascading failures
- Retry Logic: Automatic retries for transient failures
- Graceful Degradation: System continues operating with reduced functionality if needed
- Health Checks: Continuous monitoring of service health
Monitoring & Observability
- Distributed Tracing: Track requests across all services
- Metrics Collection: Comprehensive metrics for performance monitoring
- Log Aggregation: Centralized logging for debugging and analysis
- Alerting: Automated alerts for issues and anomalies
Performance Optimization
The architecture includes several performance optimizations:Caching Strategy
- Response Caching: Frequently accessed data is cached
- CDN Integration: Static assets are served via CDN
- Edge Caching: Cache at edge locations for lower latency
Connection Optimization
- Connection Pooling: Reuse connections to reduce overhead
- Keep-Alive: Maintain persistent connections when possible
- Compression: Compress data in transit to reduce bandwidth
Processing Optimization
- Async Processing: Non-critical operations are processed asynchronously
- Batch Operations: Group operations for efficiency
- Lazy Loading: Load data only when needed
Next Steps
Best Practices
Learn proven patterns and strategies for building effective voice AI solutions.