ReqRun
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Use cases

Reliable request execution where LLM calls get fragile.

Use ReqRun when one model request should survive timeouts, rate limits, client retries, and worker restarts.

Reliable LLM Calls Inside Agent Tasks

An AI agent request is a model call that may continue after the user action, job runner, or network connection that started it.

Use ReqRun when an agent task depends on an OpenAI request that should not disappear on timeout, rate limit, or worker restart.

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Reliable LLM Steps In API Flows

API orchestration coordinates dependent API calls; ReqRun only makes the OpenAI-compatible request step durable and visible.

Use ReqRun as the reliability boundary for the OpenAI call inside an API flow you already own.

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Durable LLM Tasks For Automation

Automation code often triggers LLM work; ReqRun makes that model request durable without owning the rest of your automation.

Use ReqRun when an automated process starts an OpenAI request that must finish or fail visibly.

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