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B2ALABS® - Smart API Gateway Platform
®

System Architecture

Comprehensive overview of the B2ALABS AI Gateway architecture, components, and design principles

Architecture Diagram

Interactive 3D visualization of the B2ALABS AI Gateway architecture showing the three-layer design: Client Applications, B2ALABS AI Gateway, and LLM Providers.

B2ALABS AI Gateway 3D Architecture DiagramModern isometric 3D architecture diagram showing three layers with depth and perspective: Client Applications layer with Web App, Mobile App, and Backend services; B2ALABS AI Gateway layer containing Intelligent Router, Security Layer, Semantic Cache, and Observability; and LLM Providers layer including OpenAI, Anthropic, Google, Mistral AI, and 20+ more providers. Animated data flow arrows show request routing through the intelligent gateway.B2ALABS AI Gateway ArchitectureB2ALABS AI Gateway ArchitectureClient ApplicationsWeb AppReact / Next.jsMobile AppiOS / AndroidBackendPython / Node.jsB2ALABS AI GatewayIntelligent RouterCost-based routingModel selectionSecurity LayerPII detectionPrompt injectionSemantic CacheEmbedding-based95-99% hit rateObservabilityMetrics & TracesCost trackingOpenAIGPT-5, GPT-5✓AnthropicClaude Sonnet 4.5✓GoogleGemini 2.5 Pro✓Mistral AILarge, Medium✓+20 MoreCohere, Azure,AWS Bedrock...LLM ProvidersKey Features:Intelligent routing based on cost, latency, model capabilitiesAutomatic failover in <50msReal-time cost tracking & analytics

Architecture Layers

Client Applications

Multiple client types can connect to the B2ALABS AI Gateway

Web Applications

React, Next.js, Vue.js

Browser-based applications using REST or GraphQL APIs

Mobile Applications

iOS (Swift), Android (Kotlin)

Native mobile apps with SDK support

Backend Services

Python, Node.js, Go

Server-side services and microservices

B2ALABS AI Gateway

Core intelligent routing and management layer

Intelligent Router

Go, Redis

Cost-based routing, model selection, and load balancing across LLM providers

Security Layer

Cerbos, JWT

PII detection, prompt injection prevention, and access control

Semantic Cache

Redis, Vector DB

Embedding-based cache with 95-98% hit rate for similar queries

Observability

Prometheus, Grafana, Jaeger

Metrics, traces, logs, and cost tracking in real-time

LLM Providers

Multiple AI model providers with unified API

OpenAI

GPT-5, GPT-5, GPT-5 Mini

Industry-leading models for general-purpose tasks

Anthropic

Claude Sonnet 4.5, Opus, Haiku

Advanced reasoning and long-context capabilities

Google

Gemini 2.5 Pro, Flash

Fast multimodal models with competitive pricing

Mistral AI

Large, Medium, Small

European open-source models

+20 More

Cohere, Azure, AWS, etc.

Comprehensive multi-provider support

Architectural Principles

Cloud-Native Design

Built for Kubernetes with horizontal scaling, auto-healing, and zero-downtime deployments

  • Auto-scaling based on load
  • Multi-region support
  • HA with 99.99% uptime

Security-First

OWASP LLM Top 10 compliant with enterprise-grade security controls

  • PII detection & redaction
  • Prompt injection prevention
  • Audit logging

Performance Optimized

Semantic caching and intelligent routing for <100ms latency

  • 95-98% cache hit rate
  • P95 latency <100ms
  • 70% cost reduction

Vendor-Agnostic

Unified API across 20+ LLM providers with automatic failover

  • No vendor lock-in
  • Automatic failover
  • Cost optimization

Technology Stack

Core Services

  • Gateway: Go 1.23+
  • Web Platform: Next.js 15, React 19
  • API: RESTful + GraphQL

Data Layer

  • Database: PostgreSQL 16
  • Cache: Redis 7
  • Time-series: TimescaleDB
  • Vector DB: pgvector

Observability

  • Metrics: Prometheus
  • Visualization: Grafana
  • Tracing: Jaeger
  • Logs: Loki + Promtail

Related Documentation

Getting Started

Quick setup and first request

Configuration

Configure gateway and providers

Kubernetes Deployment

Production deployment guide

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