@juspay/neurolink/dist/knowledge/normalize.d.ts

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

/**
 * Deterministic text normalization for knowledge grounding.
 *
 * The SAME normalizer runs at index-build time and query time so that a
 * configuration key, a technical identifier, and a user's phrasing all
 * collapse to the same comparable token stream:
 *
 *   "Multi-Step Flow"        -> "multi step flow"
 *   "enableMultiStepFlow"    -> "enable multi step flow"
 *   "ACCOUNT_STATUS"         -> "account status"
 *   "  Access   Policy  "    -> "access policy"
 *
 * The pipeline is intentionally conservative: it splits identifiers and
 * separators and folds case/diacritics, but it NEVER invents synonyms.
 * Reviewed acronym and spelling expansions belong in an entry's `aliases`,
 * not in this function.
 */
/**
 * Normalize an arbitrary string into a single space-delimited lowercase
 * phrase. Idempotent: `normalizeText(normalizeText(x)) === normalizeText(x)`.
 */
export declare const normalizeText: (input: string) => string;
/**
 * Normalize then split into tokens. Empty input yields an empty array.
 * Numbers and alphanumeric identifiers are preserved as their own tokens.
 */
export declare const tokenize: (input: string) => string[];
/**
 * Normalize each candidate phrase and drop blanks/duplicates while preserving
 * first-seen order. Used to build the exact-key and alias key sets.
 */
export declare const normalizePhrases: (phrases: string[]) => string[];