Technical Architecture

A layered, modular architecture designed for scalability, reliability, and performance

SuperOptiX's architecture follows modern software engineering principles with clear separation of concerns, enabling you to build complex agentic systems with confidence.

Layered Architecture

Application Layer

SuperSpec DSL and agent specifications

  • •Declarative agent definitions
  • •BDD-style testing
  • •Kubernetes-style versioning

Optimization Layer

DSPy-powered optimization engine

  • •Prompt optimization
  • •Context engineering
  • •Multi-agent coordination

Memory Layer

Composable memory systems

  • •Short-term memory
  • •Vector databases
  • •Long-term storage

Orchestration Layer

Multi-agent coordination and protocols

  • •MCP integration
  • •A2A protocols
  • •AgentLines management

Security Layer

Built-in guardrails and safety

  • •Production guardrails
  • •Compliance checks
  • •Access control

Observability Layer

Monitoring and analytics

  • •Tracing and monitoring
  • •Performance metrics
  • •Debugging tools

Integration Points

Model Inference

Support for multiple LLM providers

OpenAIAnthropicHuggingFaceOllamaMLXLM Studio

Vector Databases

Knowledge retrieval and storage

ChromaDBLanceDBWeaviateQdrantMilvus

Cloud Platforms

Deployment and scaling

AWSAzureGCPKubernetesDocker

System Overview

SuperOptiX provides a complete end-to-end solution for building, testing, optimizing, and deploying AI agents.

Development Workflow

1
Write SuperSpec DSL specifications
2
Run BDD-style tests and validation
3
Optimize with DSPy-powered engine
4
Deploy with production guardrails

Key Principles

🎯

Evaluation-First

Built-in testing and validation from day one

⚡

Optimization-Core

Automatic optimization using proven techniques

🕸️

Orchestration-Ready

Multi-agent coordination and protocols

Ready to Build?

Start building production-grade AI agents with SuperOptiX's proven architecture