Systems Architecture for Agentic AI in Next.js

Описание и применение

Архитектура на основе событий позволяет агентам в Next.js работать асинхронно, уменьшая задержки и повышая масштабируемость.

Задача

Agentic applications built on monolithic request-response patterns suffer from slow, brittle behavior due to multi-step reasoning loops, API gateway timeouts, and frontend sluggishness.

Результат

The platform achieved sub‑50 ms perceived UI latency, eliminated serverless runtime limits, and scaled horizontally to handle thousands of concurrent multi‑step reasoning sessions.

Рабочий процесс

• 1. User submits a task via Next.js frontend. 2. Serverless function queues the task in a message broker and returns 202 Accepted. 3. Background workers process each agent step (plan, act, reflect) and emit AgentStep objects. 4. WebSocket channel streams AgentStep updates to the browser. 5. Frontend renders optimistic UI updates, showing the agent’s thought process in real time.

Доказательства

We introduced a message broker. This allows us to queue agent tasks immediately. Once a task is submitted, the serverless function can return a 202 Accepted status, freeing up resources while the heavy lifting happens in the background.

Источник

Our perceived UI latency dropped to sub‑50ms because the frontend no longer waited for the entire agent workflow to finish before showing the first "thought."

Источник