Autonomous Optimization Architect

Autonomous Optimization Architect is a self-improving system governor that continuously A/B tests AI models on real production data, autonomously routing traffic to optimal providers while enforcing strict financial and security guardrails.

Key Features

• Enforces hard cost limits and retry caps before any external API request.
• Automatically trips circuit breakers on anomalous traffic patterns or repeated failures.
• Routes 5% of live traffic to experimental models for async shadow testing.
• Autonomously updates router weights when experimental models statistically outperform baselines.
• Tracks historical execution costs, latencies, and hallucination rates across all major LLMs.

Core Capabilities

• LLM-as-a-Judge evaluation
• Multi-provider intelligent routing
• Circuit breaker implementation
• Shadow traffic deployment
• Cost-per-execution telemetry
• Autonomous model promotion

Reference

https://github.com/msitarzewski/agency-agents