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Master Inngest with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Install the SDK: `npm install inngest` (TypeScript) or `pip install inngest` (Python) Add the Inngest HTTP handler to your existing Next.js, FastAPI, or Express app Start the local dev server with `npx inngest
cli dev` and open the inspector at localhost:8288 Write your first function with `inngest.createFunction`, wrap side effects in `step.run` Trigger it with `inngest.send({ name: 'my.event', data: {...} })` and watch it run Deploy the HTTP handler to production; add the INNGEST_EVENT_KEY env var and you are live
💡 Quick Start: Follow these 2 steps in order to get up and running with Inngest quickly.
Explore the key features that make Inngest powerful for ai workflow orchestration workflows.
Queues can retry a whole job but they don't remember partial progress. Inngest's step primitive checkpoints each side effect, so a retried run resumes at the next step with prior outputs available — critical for expensive LLM chains.
The open-source dev server is for local development. Production self-hosting is available through the Enterprise tier as a VPC or on-prem deployment; there is no fully self-managed OSS runtime today.
Yes — Inngest is designed for serverless. Your functions live inside your normal HTTP framework; Inngest just calls their handler. It runs cleanly on Vercel, Cloudflare Workers, AWS Lambda, Fly, and Render.
You are billed per execution (function invocation) and per step. A workflow with 5 steps and 1,000 runs a month uses 1,000 executions and 5,000 steps. Concurrency limits and seat counts also factor in on higher tiers.
Yes, but it may be overkill if all you need is 'run this once a day.' The value shows up when you want retries, concurrency limits, or the ability to pause and resume — for a pure cron with no state, a platform-native scheduler is simpler.
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Tutorial updated March 2026