Inngest — Durable AI Workflow Orchestration

What it is

Inngest is a durable workflow orchestration platform for building reliable AI pipelines and event-driven applications. It provides step functions that persist state between steps, automatic retries on failure, concurrency control, and scheduling. Your code runs as regular functions; Inngest handles the durability and orchestration layer.

Inngest targets developers building AI pipelines, background jobs, and event-driven workflows who need reliability without managing queue infrastructure. The SDKs support TypeScript, Python, and Go.

How it saves time or tokens

Inngest replaces the combination of message queues, cron schedulers, and retry logic that you would otherwise build yourself. Each step in a workflow is automatically retried on failure and its result is persisted. If a multi-step AI pipeline fails at step 3, it resumes from step 3 rather than starting over. This saves both compute time and LLM tokens for AI workloads.

How to use

1. Start the Inngest dev server: npx inngest-cli@latest dev to get a local dashboard at http://localhost:8288.
2. Define durable functions using the Inngest SDK with step.run() for each persisted step.
3. Trigger functions via events from your application code.

Example

import { inngest } from './client';

export const processDocument = inngest.createFunction(
  { id: 'ai-pipeline' },
  { event: 'app/document.uploaded' },
  async ({ event, step }) => {
    // Step 1: Extract text (retried on failure)
    const text = await step.run('extract', async () => {
      return await extractText(event.data.url);
    });

    // Step 2: Summarize with LLM (state persisted)
    const summary = await step.run('summarize', async () => {
      return await llm.summarize(text);
    });

    // Step 3: Store result
    await step.run('store', async () => {
      await db.insert({ id: event.data.id, summary });
    });
  }
);

Related on TokRepo

• Automation Tools — Workflow automation and orchestration
• Coding AI Tools — Developer tools for AI applications

Common pitfalls

• Each step.run() call must be idempotent because Inngest may retry it. Side effects (sending emails, API calls) should use idempotency keys.
• The free tier has limits on function executions per month. Check pricing before relying on Inngest for high-volume workloads.
• Step functions serialize state between steps. Large objects (images, PDFs) should be stored externally and referenced by URL rather than passed between steps.