step.ai: the quickest way to build reliable AI applications on Serverless while saving on compute

Inngest's step.run() API enables developers to add state to Serverless Functions, overcome third-party rate limits and timeouts, and recover from failures with retries, making AI applications in Serverless environments more reliable. By using this API, each step of an AI workflow benefits from automatic retries, throttling configuration, and caching, saving compute time and credits. The step.ai.infer() API offloads all LLM requests to Inngest's infrastructure, removing duration constraints when developing AI applications on Serverless platforms, allowing for the efficient handling of long-running AI operations without hitting platform time limits. Combining both APIs enables developers to build reliable AI applications on Serverless while saving on compute.

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