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@juspay/neurolink

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The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types — generate, stream and decide. `decide` returns typed, calibrated judgements from a non-generative model (~400ms, ~$0.00002

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/** * Task-checklist primitive (TodoWrite-style) — types. * * A long-running agent needs a durable, model-visible list of what this run * must finish. The checklist lives on the SESSION, outside the message list, * so summarization/compaction can rewrite the conversation without touching * it, and every tool call returns the whole list so the model re-anchors for * free after a compaction. * * Naming: the scheduler in `task.ts` already owns `Task`, `TaskStatus`, * `TaskDefinition`, `TaskStore`, `TaskRunResult` and `TasksFile`, so every * type here carries the `Checklist` prefix (Critical Rule 9). */ export {};