import type { TaskClass } from "./types.ts";
/**
 * Internal type: a quality estimate per task class for a single model id.
 * Missing entries fall back to `DEFAULT_QUALITY`.
 */
type QualityRow = Record<TaskClass, number>;
/**
 * Look up the expected quality for `(taskClass, modelId)` from the seeded
 * prior table. Kept exported for backward-compat with older callers and
 * for tests that need to inspect the raw prior. New code should prefer
 * `predictQuality` / `predictQualityWithCI` from `quality_predictor.ts`,
 * which serves measured data when available and falls back to this
 * table otherwise.
 *
 * Models not in the table fall back to `DEFAULT_QUALITY = 0.5`.
 */
export declare function predictQuality(taskClass: TaskClass, modelId: string): number;
/**
 * Exposed for tests and for introspection by downstream tooling (e.g. the
 * Phase 3 calibration harness, which uses this as a starting prior).
 */
export declare const __QUALITY_PRIOR_TABLE: Readonly<Record<string, QualityRow>>;
export {};
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