/**
 * Public-facing types for `./regression-harness-lambda-local.ts`.
 *
 * Kept in its own file because the implementation imports
 * `@hyperframes/aws-lambda`, which can't be resolved by producer's
 * tsc emit pass until aws-lambda's own dist/ is built. Splitting the
 * types out lets producer's regression harness reference the lambda
 * adapter's shape without pulling the aws-lambda graph into producer's
 * type-check pass.
 */
import type { DistributedFormat } from "./services/distributed/shared.js";
/** Inputs for {@link runLambdaLocalRender}. Same contract as `runDistributedSimulatedRender`. */
export interface RunLambdaLocalInput {
    projectDir: string;
    tempRoot: string;
    renderedOutputPath: string;
    fps: 24 | 30 | 60;
    /**
     * Width/height from the fixture's renderConfig. Forwarded directly to
     * the Lambda event so this mode catches drift if the handler ever
     * starts honouring `Config.width/height` for canvas sizing rather
     * than reading the composition's `data-width`/`data-height`. The
     * `distributed-simulated` mode hardcodes 1920×1080 because it
     * bypasses the event-serialization boundary; lambda-local goes
     * through it, which is the whole point.
     */
    width: number;
    height: number;
    format: DistributedFormat;
    codec?: "h264" | "h265";
    chunkSize?: number;
    maxParallelChunks?: number;
    variables?: Record<string, unknown>;
}
/** Public signature of the dynamically-loaded `runLambdaLocalRender`. */
export type RunLambdaLocalRender = (input: RunLambdaLocalInput) => Promise<void>;
//# sourceMappingURL=regression-harness-lambda-local-types.d.ts.map