System Architecture v2.0

Platform Architecture

A deep dive into the technical design of AIALBM. Explore the scalable, secure, and intelligent foundations that power our self-evolving agents.

Core Application Structure

FastAPI Gateway

High-performance async API server handling WebSocket streams, REST endpoints, and GraphQL queries.

Agent Orchestrator

Dynamic routing system that selects optimal models (Claude, GPT-4, Llama) based on task embeddings and performance history.

Vector Store

Qdrant-based semantic memory for efficient retrieval.

Relational DB

PostgreSQL for structured data and session persistence.

Scalability Strategy

Horizontal Auto-Scaling

Kubernetes-driven scaling based on CPU, Memory, and Request metrics.

API Gateway

3-10

Replicas

Embeddings

2-5

GPU Nodes

Vector Search

Sharded

Distributed

# Sharding Strategy Code Snippet

def shard_strategy(self):
    return {
        "user_sharding": "consistent_hashing",
        "time_sharding": "monthly_partitions",
        "vector_sharding": "locality_sensitive_hashing"
    }

Zero Trust Security

EncryptionAES-256-GCM at rest, TLS 1.3 in transit.
PrivacyDifferential privacy & federated learning support.
AuthOAuth2 + JWT with strict RBAC/ABAC policies.

Deployment

Build

Docker + Ruff + Pytest

Orchestration

Kubernetes (Staging/Prod)

Observability

Prometheus + Grafana + ELK

Tech Stack

FastAPIPython 3.12Next.jsTailwindPostgreSQLRedisQdrantDockerK8s