inngest-realtime

Implement real-time communication between Inngest workflows and Next.js clients.

1|Updated Jun 23, 2026

Search Tags:#typescript #streaming #nextjs #realtime #workflows #inngest

Ready to run

npx skills add https://github.com/YOYOMAII/foundry --skill inngest-realtime-yoyomaii

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: inngest-realtime
Source: https://github.com/YOYOMAII/foundry/tree/main/.agents/skills/inngest-realtime
Command: npx skills add https://github.com/YOYOMAII/foundry --skill inngest-realtime-yoyomaii

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires inngest, zod.

What problem does it solve?

This skill solves the challenge of bridging the gap between long-running, durable backend workflows and real-time user interfaces, ensuring users see progress updates as they happen.

Core Features & Use Cases

Live Progress Tracking: Stream step-by-step execution status to the browser for long-running jobs.
AI Token Streaming: Efficiently push AI-generated content chunks directly to chat interfaces.
Human-in-the-loop: Facilitate interactive approval flows where the workflow pauses and waits for user input via a real-time channel.

Quick Start

Use the inngest-realtime skill to configure a channel and stream status updates from a durable function to a React component.

Frequently Asked Questions about inngest-realtime

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I stream real-time status updates from durable backend workflows to a Next.js UI?▼

You stream real-time status updates by implementing typed channels and secure server-side subscription tokens, bridging long-running Inngest workflows and client-side React components for live progress tracking.

Can I use Inngest to stream AI generated tokens directly to a chat interface?▼

Yes, Inngest can efficiently push AI-generated content chunks directly to chat interfaces by utilizing real-time communication channels configured between your durable backend workflows and client-side application.

How do I implement human-in-the-loop approval flows within a Next.js application?▼

You implement human-in-the-loop interactions by configuring a real-time channel where the durable workflow pauses execution and securely waits for user input before proceeding with the next step.

Do I need the Inngest v4 SDK to enable real-time workflow communication?▼

Yes, enabling real-time communication requires Inngest v4 SDK integration to properly define typed channels and mint secure server-side subscription tokens for your client-side applications.

What's the best way to secure real-time workflow subscriptions between backend and frontend?▼

The best way to secure subscriptions is by minting subscription tokens on the server side, ensuring that only authorized client-side applications can receive live workflow updates and AI token streams.

What are the limitations of using real-time channels for long-running workflow updates?▼

Limitations include the strict dependency on Inngest v4 SDK and Next.js environments, requiring proper typed channel definitions and secure server-side token minting to maintain durable workflow execution and live UI synchronization.