https://cubxxw.com/tags/langgraph/ Tech blog by Xinwei Xiong — AI Builder, open source contributor and digital nomad sharing Kubernetes, Go, AI projects and travel. https://cubxxw.com/assets/og-image.png https://cubxxw.com/ Hugo -- gohugo.io en-us Wed, 24 Jun 2026 10:00:00 +0800 https://cubxxw.com/ai-technology/posts/relay-agent-architecture-design/ Wed, 24 Jun 2026 10:00:00 +0800 Wed, 24 Jun 2026 14:18:19 +0800 熊鑫伟 (Xinwei Xiong) https://cubxxw.com/ai-technology/posts/relay-agent-architecture-design/ Using the Relay open-source job-search Agent project as a case study, this article fully breaks down every key design decision in a production-grade multi-agent system: why split a single Agent into 5, how to implement HITL checkpoints with LangGraph, how a three-tier LLM router precisely tracks costs, how a fabrication guard validates at runtime, and how a hybrid backend (Hono/Bun + FastAPI/Python) decouples cleanly. Whether you are building your first Agent PoC or pushing toward production, there are design patterns here you can take away. AI & Technology AI Agent LangGraph LLM Architecture TypeScript Python Technical diagram showing the five-layer architecture of the Relay job-search Agent system: UI layer, API orchestration layer, Agent execution layer, shared services layer, and data and integration layer