import type { InferencePipeline } from '../../inference/pipelines/text.js';
import type { RDRRManifest } from '../../formats/rdrr/index.js';
import type {
  TextModelConfig,
  LoadProgressEvent,
  LoRAManifest,
} from './types.js';

export declare function getPipeline(): InferencePipeline | null;

export declare function getCurrentModelId(): string | null;

export declare function verifyExplicitModelUrlMatch(
  localManifest: RDRRManifest | Record<string, unknown> | null | undefined,
  modelUrl: string | null | undefined,
  fetchRemoteManifest?: (modelUrl: string) => Promise<RDRRManifest | Record<string, unknown> | null>
): Promise<void>;

export declare function extractTextModelConfig(manifest: RDRRManifest): TextModelConfig;

export declare function readOPFSFile(path: string): Promise<ArrayBuffer>;

export declare function writeOPFSFile(path: string, data: ArrayBuffer): Promise<void>;

export declare function fetchArrayBuffer(url: string): Promise<ArrayBuffer>;

export declare function loadModel(
  modelId: string,
  modelUrl?: string | null,
  onProgress?: ((event: LoadProgressEvent) => void) | null,
  localPath?: string | null
): Promise<boolean>;

export declare function activateLoRAFromTrainingOutput(
  trainingOutput:
    | string
    | {
      adapter?: LoRAManifest | RDRRManifest | string;
      adapterManifest?: LoRAManifest | RDRRManifest;
      adapterManifestJson?: string;
      adapterManifestUrl?: string;
      adapterManifestPath?: string;
    }
    | null
    | undefined
): Promise<{
  activated: boolean;
  adapterName: string | null;
  source: string | null;
  reason: string | null;
}>;

export declare function getActiveLoRA(): string | null;