@juspay/neurolink/dist/core/resolveRequestKind.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

import type { RequestKind, RequestKindInput } from "../types/index.js";
/**
 * The dispatch decision for "what kind of request is this" — text, image,
 * video, music, avatar, direct TTS synthesis, or PPT generation — at the
 * CORE call sites: neurolink.ts's maybeHandleEarlyGenerateResult
 * (music/avatar/ppt/workflow routing) and baseProvider.ts's
 * stream()/runGenerateInActiveContext (image/video/tts-direct routing) call
 * this instead of independently re-deriving the decision.
 *
 * Also the only copy at the provider-override level: replicate.ts's
 * generate() override and googleVertex/client.ts's generate()/stream()
 * overrides (which bypass BaseProvider's paths) call this too, so an edit
 * to this precedence table reaches every dispatch site.
 *
 * Precedence, checked in order:
 *   1. output.mode (music/avatar/video/ppt) — an explicit mode always wins.
 *   2. an image-generation model, unless the caller explicitly asked for a
 *      non-image output.format (json/structured/text) — this lets dual-mode
 *      models like gemini-3.1-flash-image-preview still perform text or
 *      structured generation when requested.
 *   3. tts.enabled without tts.useAiResponse — direct synthesis, bypassing
 *      the LLM turn entirely (useAiResponse means the LLM's own text
 *      response gets synthesized afterward, which is NOT this branch).
 *   4. otherwise, "text".
 */
export declare function resolveRequestKind(options: RequestKindInput, modelName?: string): RequestKind;