Develop, test, and deploy reliable AI workflows to production with zero new infrastructure, in less than a day. Inngest’s event-driven workflows handle queueing, state, scale, and observability, letting you focus on what matters.
Spend time developing what's important. Scale from day 0 by leaving the complex orchestration to us.
A simple, powerful interface that lets you define reliable flow control in your own code. Write AI workflows directly in your API using our SDK, with local testing out of the box.
Leverage data from your own database, vector store, or APIs directly in code — without complex interfaces or adapters.
Easily implement any AI model as either a single call or using patterns like RAG, tree of thoughts, chain of thoughts, or safety rails, directly in code.
Concurrency, rate limiting, debounce, automatic cancellation — everything you need to scale, while respecting rate limits, built in from the beginning.
Iterate on AI flows in your existing code base and test things locally using our dev server, with full production parity.
Easily create AI workflows with regular code, using any library or integrations you need without learning anything new.
Get started locally in one command:
npx inngest-cli dev
Move to production by deploying Inngest functions inside your existing API, wherever it is — serverless, servers, or edge. Backed by rock solid external orchestration, your workflows are ready to scale in milliseconds.
Deploy in your existing API, on your existing host, without spinning up new infra or provisioning new services — whether you use servers or serverless.
Hassle free development with preview environments, logging, one-click replay, and error reporting built in.
Full insight without the fuss. Tag functions by user, account, context length, prompt rating, and see any data on any metric.
Leveraging Inngest for production-grade complex state management and LLM chaining.
How Fey leverages Inngest in orchestrating complex financial data pipelines and AI-powered features.
Use with any framework, on any cloud: