@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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TypeScript
import type { KnowledgeEntryInput, KnowledgeManifest, KnowledgeNormalizeOptions, KnowledgeNormalizeResult, KnowledgeSource, NormalizedKnowledgeEntry } from "../types/index.js";
/**
* Resolve one authored entry into a complete `NormalizedKnowledgeEntry`,
* materializing every omitted optional (optional arrays to `[]`, `body` to "",
* `kind` to "text", `status` to "active") so downstream code never re-checks
* it. Authored arrays are cloned so the normalized snapshot is isolated from
* caller-owned references.
*/
export declare const resolveEntry: (input: KnowledgeEntryInput, version: string) => NormalizedKnowledgeEntry;
/** Expand a build manifest into sources — one per catalog. */
export declare const manifestToSources: (manifest: KnowledgeManifest) => KnowledgeSource[];
/**
* Resolve and validate every source into normalized entries. `validation.ok`
* is false when any error-level issue was found; the caller (index builder)
* must not swap in an index built from an invalid set. Async so the public
* contract is stable if a future source kind needs asynchronous loading.
*/
export declare const normalizeAndValidate: (sources: KnowledgeSource[], options: KnowledgeNormalizeOptions) => Promise<KnowledgeNormalizeResult>;