botserver/docs/src/chapter-07-gbapp/architecture.md

Architecture Overview

BotServer follows a modular architecture designed for scalability, maintainability, and extensibility. Each module handles specific responsibilities and communicates through well-defined interfaces.

Core Architecture

Data Flow Architecture

System Architecture

Module Dependency Graph

Module Organization

Data Flow Through Modules

Core Modules

auth/

Authentication and authorization system handling:

• User management
• Group/organization management
• Role-based access control (RBAC)
• JWT token management
• OAuth integration
• Two-factor authentication

automation/

Workflow automation engine providing:

• Process automation
• Scheduled tasks
• Event-driven automation
• Workflow orchestration
• Integration with external systems

basic/

BASIC dialect interpreter and runtime:

• Keyword implementation
• Script compilation
• Variable management
• Flow control
• Tool integration
• Error handling

bootstrap/

System initialization and startup:

• Component verification
• Service startup sequencing
• Database migrations
• Template deployment
• Health checks
• Configuration loading

bot/

Bot instance management:

• Bot lifecycle (create, mount, unmount)
• Conversation handling
• User input processing
• Response generation
• Multi-bot coordination
• Session isolation

Communication Modules

channels/

Multi-channel messaging adapters:

• Web interface
• WhatsApp Business API
• Microsoft Teams
• Slack
• Instagram
• SMS
• Voice

meet/

Real-time communication features:

• Video conferencing
• Voice calls
• Screen sharing
• Recording
• Transcription
• Meeting scheduling

web_server/

HTTP server and web interface:

• Static file serving
• WebSocket handling
• REST API routing
• CORS management
• Request/response processing

AI & Knowledge Modules

llm/

Large Language Model integration:

• Model selection
• Prompt formatting
• Token management
• Response streaming
• Cost tracking
• Model fallbacks

llm_models/

Specific model implementations:

• OpenAI (GPT-3.5, GPT-4)
• Anthropic (Claude)
• Google (Gemini)
• Meta (Llama)
• Local models
• Custom models

prompt_manager/

Centralized prompt management:

• Prompt templates
• Variable substitution
• Model-specific optimization
• Version control
• A/B testing
• Performance tracking

context/

Conversation context management:

• Context window optimization
• History management
• Context compression
• Relevance filtering
• Multi-turn tracking

Storage & Data Modules

drive/

File and document management:

• File upload/download
• Document processing
• Version control
• Sharing permissions
• Quota management
• Search indexing

drive_monitor/

Storage monitoring and sync:

• Change detection
• Auto-sync
• Conflict resolution
• Backup management
• Storage analytics

package_manager/

Bot package management:

• Package loading
• Dependency resolution
• Version management
• Hot reload
• Package validation

Processing Modules

engines/

Various processing engines:

• Rule engine
• Workflow engine
• Event processor
• Message queue
• Job scheduler

calendar_engine/

Calendar and scheduling:

• Event management
• Availability checking
• Meeting coordination
• Reminder system
• Timezone handling

task_engine/

Task management system:

• Task creation
• Assignment
• Status tracking
• Dependencies
• Notifications

email/

Email integration:

• SMTP sending
• IMAP receiving
• Template management
• Tracking
• Bounce handling

Utility Modules

session/

User session management:

• Session creation
• State persistence
• Session timeout
• Concurrent sessions
• Session recovery

config/

Configuration management:

• Config loading
• Environment variables
• Hot reload
• Validation
• Defaults

shared/

Shared utilities and models:

• Database models
• Common types
• Helper functions
• Constants
• Error types

compliance/

Regulatory compliance:

• GDPR compliance
• Data retention
• Audit logging
• Privacy controls
• Consent management

nvidia/

GPU acceleration support:

• CUDA integration
• Model inference
• Batch processing
• Performance optimization

ui_tree/

UI component tree management:

• Virtual DOM
• Component lifecycle
• State management
• Event handling
• Rendering optimization

web_automation/

Web scraping and automation:

• Browser automation
• Content extraction
• Form filling
• Screenshot capture
• Change monitoring

Data Flow

Request Processing Pipeline

1. Channel Adapter receives user input
2. Session Manager identifies/creates session
3. Context Manager loads conversation history
4. BASIC Interpreter executes dialog script
5. LLM Integration processes natural language
6. Knowledge Base provides relevant information
7. Response Generator formats output
8. Channel Adapter delivers response

Storage Architecture

Primary Database (PostgreSQL)

• User accounts
• Bot configurations
• Session data
• Conversation history
• System metadata

Object Storage (Drive)

• File uploads
• Document storage
• Media files
• Backups
• Logs

Cache Layer

• Session cache
• Frequently accessed data
• Rate limiting
• Temporary storage
• Pub/sub messaging

Vector Database (Qdrant)

• Document embeddings
• Semantic search index
• Knowledge base vectors
• Similarity matching

Security Architecture

Authentication Flow

1. User provides credentials
2. Auth module validates
3. JWT token issued
4. Token verified on each request
5. Session established
6. Permissions checked

Data Protection

• Encryption at rest (database, files)
• Encryption in transit (TLS/SSL)
• Sensitive data masking
• PII detection
• Secure key management

Access Control

• Role-based permissions
• Resource-level authorization
• API rate limiting
• IP allowlisting
• Audit logging

Deployment Architecture

Container Structure

• Main application container
• PostgreSQL database
• Drive storage (S3-compatible)
• Cache (Valkey)
• Qdrant vector DB
• Nginx reverse proxy

Scaling Strategy

• Horizontal scaling for web servers
• Read replicas for database
• Distributed cache
• Load balancing
• Auto-scaling policies

High Availability

• Multi-zone deployment
• Database replication
• Storage redundancy
• Health monitoring
• Automatic failover

Performance Optimization

Caching Strategy

• Response caching
• Query result caching
• Static asset caching
• API response caching
• Knowledge base caching

Async Processing

• Background jobs
• Message queues
• Event-driven architecture
• Non-blocking I/O
• Worker pools

Resource Management

• Connection pooling
• Memory management
• Token optimization
• Query optimization
• Lazy loading

Monitoring & Observability

Metrics Collection

• System metrics
• Application metrics
• Business metrics
• User analytics
• Performance tracking

Logging

• Structured logging
• Log aggregation
• Error tracking
• Audit trails
• Debug logging

Health Checks

• Liveness probes
• Readiness probes
• Dependency checks
• Performance monitoring
• Alert system

Extension Points

Plugin System

• Custom keywords
• External tools
• API integrations
• Custom channels
• Model providers

Webhook Support

• Incoming webhooks
• Outgoing webhooks
• Event subscriptions
• Callback handling
• Retry mechanisms

API Integration

• REST API
• GraphQL (planned)
• WebSocket
• gRPC (planned)
• OpenAPI spec

Development Workflow

Local Development

1. Clone repository
2. Install dependencies
3. Configure environment
4. Run migrations
5. Start services
6. Load templates

Testing Strategy

• Unit tests
• Integration tests
• End-to-end tests
• Load testing
• Security testing

CI/CD Pipeline

• Automated testing
• Code quality checks
• Security scanning
• Build process
• Deployment automation

Future Architecture Plans

Planned Enhancements

• Microservices migration
• Kubernetes native
• Multi-region support
• Edge deployment
• Serverless functions

Performance Goals

• Sub-100ms response time
• 10,000+ concurrent users
• 99.99% uptime
• Elastic scaling
• Global CDN