TALOS

TALOS is an autonomous multi-agent AI system that defends manufacturing supply chains from real-time vendor disruptions — without human intervention until the moment it matters. The system runs a continuous Scout Agent that monitors live vendor data streams every 1.5 seconds, checking for HTTP failures, corrupted payloads, and zero-quantity anomalies. When 3 consecutive failures are detected, it escalates and triggers a full remediation pipeline powered by Google Gemini 1.5 Flash on Vertex AI. The pipeline runs four specialized agents in sequence: → Scout detects the anomaly and triggers escalation → Analyst queries the live inventory database and calculates hours until factory stockout and projected daily financial loss (e.g. $694K/day) → Broker evaluates all backup vendors by reliability, cost, and lead time — then drafts a Purchase Order → Forge generates the infrastructure patch — the exact API endpoint to switch the vendor stream The system then pauses at a Human-in-the-Loop gate. The operator reviews the full agent output and clicks AUTHORIZE MITIGATION. The new vendor URL is written atomically to a Cloud SQL circuit breaker config. The stream switches on the next 1.5-second poll cycle. Crisis resolved in under 60 seconds. Built on Google Cloud Run, Cloud SQL (PostgreSQL), FastAPI, and Vertex AI. Features a terminal-aesthetic command center dashboard with live agent feed, audit log, financial exposure HUD, and an AI Oracle chatbot. TALOS directly addresses the Collaborative Systems and Agentic Workflows categories — four specialized agents coordinate autonomously to solve a problem no single LLM could handle alone.