Architecting Multi-Agent AI Pipelines with Go, Vue 3, and Python

In production AI engineering, static single-prompt LLM wrappers fall apart quickly. To solve complex validation workflows for startups and enterprise systems, multi-agent orchestration engines are essential.

Key Architectural Patterns

1. The High-Performance Proxy (Go): Handling WebSocket streams, auth boundaries, and traffic routing to keep latencies minimal.
2. The Agent Brain (Python): Utilizing "LLM-as-a-Judge" audit logic and a "Brutal Gatekeeper" pass/fail filter.
3. The User Dashboard (Vue 3 / Next.js): A real-time "Traffic Light" status interface giving founders immediate visual feedback.

By separating the execution runtime from the agent prompt engine, we achieve enterprise reliability while retaining rapid prompt iteration speed.