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Inngest Setup

Organization
Asymmetric-al
inngest-setup

Use when adding durable execution to a TypeScript project — building retry-safe webhook handlers, background jobs that survive crashes, scheduled tasks, or long-running workflows that outlive a single request. Covers Inngest SDK installation, client config, environment variables, serve endpoints (Next.js, Express, Hono, Fastify), connect-as-worker mode, and the local dev server.

Overview

PublisherAsymmetric-al
Repositorycore
Skill nameinngest-setup
Stars
383
Forks
7
Bundled files
Instructions only
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Asymmetric-al on GitHub. Read the source before you install it.

Installation

Install the Inngest Setup AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Asymmetric-al/core.git /tmp/core
mkdir -p .claude/skills
cp -r /tmp/core/docs/ai/skills/inngest-setup .claude/skills/inngest-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Inngest Setup in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Inngest Setup on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Inngest Setup is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Inngest Setup

This skill sets up Inngest in a TypeScript project from scratch, covering installation, client configuration, connection modes, and local development.

These skills are focused on TypeScript. For Python or Go, refer to the Inngest documentation for language-specific guidance. Core concepts apply across all languages.

Prerequisites

  • Node.js 18+ (Node.js 22.4+ r ecommended for WebSocket support)
  • TypeScript project
  • Package manager (npm, yarn, pnpm, or bun)

Step 1: Install the Inngest SDK

Install the inngest npm package in your project:

bash
npm install inngest
# or
yarn add inngest
# or
pnpm add inngest
# or
bun add inngest

Step 2: Create an Inngest Client

Create a shared client file that you'll import throughout your codebase:

typescript
// src/inngest/client.ts
import { Inngest } from "inngest";

export const inngest = new Inngest({
  id: "my-app", // Unique identifier for your application (hyphenated slug)
});
// IMPORTANT: v4 defaults to Cloud mode. For local dev, set INNGEST_DEV=1 env var.
// Without it, your serve endpoint will return 500 ("In cloud mode but no signing key").
// In production, set INNGEST_SIGNING_KEY (required for Cloud mode).

Key Configuration Options

  • id (required): Unique identifier for your app. Use a hyphenated slug like "my-app" or "user-service"
  • eventKey: Event key for sending events (prefer INNGEST_EVENT_KEY env var)
  • env: Environment name for Branch Environments
  • isDev: Force Dev mode (true) or Cloud mode (false). v4 defaults to Cloud mode, so set INNGEST_DEV=1 env var for local development. Never hardcode isDev: true in source code — it will silently break in production. Always use the env var.
  • signingKey: Signing key for production (prefer INNGEST_SIGNING_KEY env var). Moved from serve() to client in v4
  • signingKeyFallback: Fallback signing key for key rotation (prefer INNGEST_SIGNING_KEY_FALLBACK env var)
  • baseUrl: Custom Inngest API base URL (prefer INNGEST_BASE_URL env var)
  • logger: Custom logger instance (e.g. winston, pino) — enables logger in function context
  • middleware: Array of middleware (see inngest-middleware skill)

Typed Events with eventType()

typescript
import { Inngest, eventType } from "inngest";
import { z } from "zod";

const signupCompleted = eventType("user/signup.completed", {
  schema: z.object({
    userId: z.string(),
    email: z.string(),
    plan: z.enum(["free", "pro"]),
  }),
});

const orderPlaced = eventType("order/placed", {
  schema: z.object({
    orderId: z.string(),
    amount: z.number(),
  }),
});

export const inngest = new Inngest({ id: "my-app" });

// Use event types as triggers for full type safety:
inngest.createFunction(
  { id: "handle-signup", triggers: [signupCompleted] },
  async ({ event }) => {
    event.data.userId; /* typed as string */
  },
);

// Use event types when sending events:
await inngest.send(
  signupCompleted.create({
    userId: "user_123",
    email: "user@example.com",
    plan: "pro",
  }),
);

Environment Variables Setup

Set these environment variables in your .env file or deployment environment:

env
# Required for production
INNGEST_EVENT_KEY=your-event-key-here
INNGEST_SIGNING_KEY=your-signing-key-here

# Force dev mode during local development
INNGEST_DEV=1

# Optional - custom dev server URL (default: http://localhost:8288)
INNGEST_BASE_URL=http://localhost:8288

⚠️ Common Gotcha: Never hardcode keys in your source code. Always use environment variables for INNGEST_EVENT_KEY and INNGEST_SIGNING_KEY.

CRITICAL: Enable Dev Mode for Local Development

Before creating serve endpoints or connecting workers, ensure dev mode is enabled. Without it, Inngest defaults to Cloud mode and your endpoints will fail with 500 errors.

Add to your .env file (or your dev script in package.json):

env
INNGEST_DEV=1

Or in package.json scripts:

json
{
  "scripts": {
    "dev": "INNGEST_DEV=1 tsx --watch src/server.ts"
  }
}

Symptoms of missing INNGEST_DEV:

  • GET /api/inngest returns {"code":"internal_server_error"}
  • Server logs: "In cloud mode but no signing key found"
  • Dev server can't sync with your app

Step 3: Choose Your Connection Mode

Inngest supports two connection modes:

Mode A: Serve Endpoint (HTTP)

Best for serverless platforms (Vercel, Lambda, etc.) and existing APIs.

Mode B: Connect (WebSocket)

Best for container runtimes (Kubernetes, Docker) and long-running processes.

Step 4A: Serving an Endpoint (HTTP Mode)

Create an API endpoint that exposes your functions to Inngest:

typescript
// For Next.js App Router: src/app/api/inngest/route.ts
import { serve } from "inngest/next";
import { inngest } from "../../../inngest/client";
import { myFunction } from "../../../inngest/functions";

export const { GET, POST, PUT } = serve({
  client: inngest,
  functions: [myFunction],
});
typescript
// For Next.js Pages Router: pages/api/inngest.ts
import { serve } from "inngest/next";
import { inngest } from "../../inngest/client";
import { myFunction } from "../../inngest/functions";

export default serve({
  client: inngest,
  functions: [myFunction],
});
typescript
// For Express.js
import express from "express";
import { serve } from "inngest/express";
import { inngest } from "./inngest/client";
import { myFunction } from "./inngest/functions";

const app = express();
app.use(express.json({ limit: "10mb" })); // Required for Inngest, increase limit for larger function state

app.use(
  "/api/inngest",
  serve({
    client: inngest,
    functions: [myFunction],
  }),
);

🔧 Framework-Specific Notes:

  • Express: Must use express.json({ limit: "10mb" }) middleware to support larger function state.
  • Fastify: Use fastifyPlugin from inngest/fastify
  • Cloudflare Workers: Use inngest/cloudflare
  • AWS Lambda: Use inngest/lambda
  • For all other frameworks, check the serve reference here: https://www.inngest.com/docs-markdown/learn/serving-inngest-functions

⚠️ v4 Change: Options like signingKey, signingKeyFallback, and baseUrl are now configured on the Inngest client constructor, not on serve(). The serve() function only accepts client, functions, and streaming.

⚠️ Common Gotcha: Always use /api/inngest as your endpoint path. This enables automatic discovery. If you must use a different path, you'll need to configure discovery manually with the -u flag.

Step 4B: Connect as Worker (WebSocket Mode)

For long-running applications that maintain persistent connections:

typescript
// src/worker.ts
import { connect } from "inngest/connect";
import { inngest } from "./inngest/client";
import { myFunction } from "./inngest/functions";

(async () => {
  const connection = await connect({
    apps: [{ client: inngest, functions: [myFunction] }],
    instanceId: process.env.HOSTNAME, // Unique worker identifier
    maxWorkerConcurrency: 10, // Max concurrent steps
  });

  console.log("Worker connected:", connection.state);

  // Graceful shutdown handling
  await connection.closed;
  console.log("Worker shut down");
})();

Requirements for Connect Mode:

  • Node.js 22.4+ (or Deno 1.4+, Bun 1.1+) for WebSocket support
  • Long-running server environment (not serverless)
  • INNGEST_SIGNING_KEY and INNGEST_EVENT_KEY for production
  • Set the appVersion parameter on the Inngest client for production to support rolling deploys

v4 Connect Changes:

  • Worker thread isolation is enabled by default — WebSocket connections execute in a worker thread to prevent event loop starvation. Set isolateExecution: false to use a single process (or INNGEST_CONNECT_ISOLATE_EXECUTION=false)
  • rewriteGatewayEndpoint callback has been replaced with the gatewayUrl string option (or INNGEST_CONNECT_GATEWAY_URL env var)

Step 5: Organizing with Apps

As your system grows, organize functions into logical apps:

typescript
// User service
const userService = new Inngest({ id: "user-service" });

// Payment service
const paymentService = new Inngest({ id: "payment-service" });

// Email service
const emailService = new Inngest({ id: "email-service" });

Each app gets its own section in the Inngest dashboard and can be deployed independently. Use descriptive, hyphenated IDs that match your service architecture.

⚠️ Common Gotcha: Changing an app's id creates a new app in Inngest. Keep IDs consistent across deployments.

Step 6: Local Development with inngest-cli

Start the Inngest Dev Server for local development:

bash
# Auto-discover your app on common ports/endpoints
npx --ignore-scripts=false inngest-cli@latest dev

# Specify your app's URL manually
npx --ignore-scripts=false inngest-cli@latest dev -u http://localhost:3000/api/inngest

# Custom port for dev server
npx --ignore-scripts=false inngest-cli@latest dev -p 9999

# Disable auto-discovery
npx --ignore-scripts=false inngest-cli@latest dev --no-discovery -u http://localhost:3000/api/inngest

# Multiple apps
npx --ignore-scripts=false inngest-cli@latest dev -u http://localhost:3000/api/inngest -u http://localhost:4000/api/inngest

The dev server will be available at http://localhost:8288 by default.

Configuration File (Optional)

Create inngest.json for complex setups:

json
{
  "sdk-url": [
    "http://localhost:3000/api/inngest",
    "http://localhost:4000/api/inngest"
  ],
  "port": 8289,
  "no-discovery": true
}

Environment-Specific Setup

Local Development

env
INNGEST_DEV=1
# No keys required in dev mode

Production

env
INNGEST_EVENT_KEY=evt_your_production_event_key
INNGEST_SIGNING_KEY=signkey_your_production_signing_key

Custom Dev Server Port

env
INNGEST_DEV=1
INNGEST_BASE_URL=http://localhost:9999

If your app runs on a non-standard port (not 3000), make sure the dev server can reach it by specifying the URL with -u flag.

Common Issues & Solutions

Port Conflicts: If port 8288 is in use, specify a different port: -p 9999

Auto-discovery Not Working: Use manual URL specification: -u http://localhost:YOUR_PORT/api/inngest. If using --no-discovery flag, the -u flag is required — the dev server will not find your app without it.

Functions Not Showing in Dev Server: Your app must register with the dev server. This happens automatically when your serve endpoint receives its first request from the dev server. If registration isn't happening: (1) verify INNGEST_DEV=1 is set, (2) verify the dev server can reach your app URL, (3) try restarting your app while the dev server is running.

Signature Verification Errors: Ensure INNGEST_SIGNING_KEY is set correctly in production

WebSocket Connection Issues: Verify Node.js version 22.4+ for connect mode

Docker Development: Use host.docker.internal for app URLs when running dev server in Docker

Next Steps

  1. Create your first Inngest function with inngest.createFunction()
  2. Test functions using the dev server's "Invoke" button
  3. Send events with inngest.send() to trigger functions
  4. Deploy to production with proper environment variables
  5. See inngest-middleware for adding logging, error tracking, and other cross-cutting concerns
  6. Monitor functions in the Inngest dashboard

The dev server automatically reloads when you change functions, making development fast and iterative.

This Repository

These upstream Inngest instructions are vendored for agent tooling and integration work in this monorepo.

Repository Triggers

Use this skill when inngest-setup matches the current Inngest task. If the right skill is unclear, start with docs/ai/skills/inngest/SKILL.md.

Repository Workflow

  1. Confirm whether the request is agent-tooling guidance or product runtime integration.
  2. Use inngest-brownfield-audit before changing existing app workflows or fragile background work.
  3. Follow this upstream guidance under OpenSpec, root AGENTS.md, repo rulebooks, framework docs, and runtime evidence.
  4. Keep runtime packages, app code, migrations, and INNGEST_* env requirements out of agent-tooling-only changes.

Repository Checklist

  • The task has explicit product-runtime scope before adding Inngest app code or dependencies.
  • Existing workflows were audited before introducing or changing durable workflow behavior.
  • Any MCP usage is backed by a running Inngest dev server on the configured port.
  • Upstream source and license attribution remain documented in docs/ai/skills/inngest/references/upstream.md.

Frequently asked questions

What does the Inngest Setup AI skill do?

Use when adding durable execution to a TypeScript project — building retry-safe webhook handlers, background jobs that survive crashes, scheduled tasks, or long-running workflows that outlive a single request. Covers Inngest SDK installation, client config, environment variables, serve endpoints (Next.js, Express, Hono, Fastify), connect-as-worker mode, and the local dev server.

Why use Inngest Setup on TypingMind?

Because you install it once and use it with any model. Inngest Setup is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Inngest Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Asymmetric-al/core/tree/develop/docs/ai/skills/inngest-setup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Inngest Setup?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Inngest Setup?

As many as you like. As long as a model supports skills, you can use Inngest Setup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Inngest Setup AI skill free?

Yes. It is published on GitHub by Asymmetric-al under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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