/**
 * Runtime-agnostic ONNX shim. The package does not depend on any specific
 * onnxruntime build; the user passes their own runtime (typically
 * `onnxruntime-node` in Node and `onnxruntime-web` in the browser, both of
 * which re-export `onnxruntime-common`).
 *
 * Only the surface used by this package is typed here. We intentionally avoid
 * importing types from `onnxruntime-common` to keep the package install
 * lightweight; both runtimes are structurally compatible with `OrtRuntime`.
 */
export interface OrtSession {
    run(feeds: Record<string, OrtTensor>): Promise<Record<string, OrtTensor>>;
}
export interface OrtTensor {
    data: Float32Array | Float64Array | Int32Array | BigInt64Array | Uint8Array;
    dims: readonly number[];
    type: string;
}
export interface OrtSessionCreateOptions {
    executionProviders?: ReadonlyArray<string | {
        name: string;
    }>;
    graphOptimizationLevel?: "disabled" | "basic" | "extended" | "all";
    [key: string]: unknown;
}
export interface OrtRuntime {
    InferenceSession: {
        create(model: string | ArrayBufferLike | Uint8Array, options?: OrtSessionCreateOptions): Promise<OrtSession>;
    };
    Tensor: new (type: "float32" | "float64" | "int32" | "int64" | "uint8" | "bool", data: Float32Array | Float64Array | Int32Array | BigInt64Array | Uint8Array, dims: readonly number[]) => OrtTensor;
}
/**
 * No `executionProviders` here on purpose: that lets the runtime pick its
 * default chain. On `onnxruntime-web/webgpu` that's `[webgpu, wasm]`; on
 * `onnxruntime-node` it's `[cpu]`. The caller can override per-load via the
 * `sessionOptions` argument to `SegmentationModel.load` / `EmbeddingModel.load`.
 */
export declare const DEFAULT_SESSION_OPTIONS: OrtSessionCreateOptions;
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