@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
/**
* Runway Video Handler (Gen-3 Alpha / Gen-4 Turbo)
*
* Async generation: POST /v1/image_to_video → poll /v1/tasks/{id}.
*
* @module adapters/video/runwayVideoHandler
* @see https://docs.dev.runwayml.com/api/
*/
import type { VideoGenerationResult, VideoHandler, VideoOutputOptions } from "../../types/index.js";
/**
* Runway Video Handler.
*
* Auth: `Authorization: Bearer ${RUNWAY_API_KEY}` + `X-Runway-Version`
* header. Models: gen3a_turbo (Gen-3 Alpha Turbo, default), gen4_turbo.
*/
export declare class RunwayVideoHandler implements VideoHandler {
readonly maxDurationSeconds = 10;
readonly supportedAspectRatios: readonly ("16:9" | "9:16")[];
readonly supportedResolutions: readonly ("720p" | "1080p")[];
private readonly apiKey;
private readonly baseUrl;
private readonly apiVersion;
constructor(apiKey?: string);
isConfigured(): boolean;
generate(image: Buffer, prompt: string, options: VideoOutputOptions): Promise<VideoGenerationResult>;
private submitTask;
private pollUntilComplete;
private downloadVideo;
private fetchWithTimeout;
private detectImageType;
private calculateDimensions;
}