import type { MockLanguageModelV3 } from "ai/test";
export type BootstrapGenerateOptions = Parameters<MockLanguageModelV3["doGenerate"]>[0];
export type BootstrapPrompt = BootstrapGenerateOptions["prompt"];
export type BootstrapGenerateResult = Awaited<ReturnType<MockLanguageModelV3["doGenerate"]>>;
type BootstrapStreamResult = Awaited<ReturnType<MockLanguageModelV3["doStream"]>>;
/**
 * Builds a deterministic `doGenerate` result from a text response and token
 * estimates. Shared by the real bootstrap model and the authored-model mock.
 */
export declare function createBootstrapGenerateResult(input: {
    readonly inputTokens: number;
    readonly modelId: string;
    readonly outputTokens: number;
    readonly text: string;
}): BootstrapGenerateResult;
/**
 * Converts a `doGenerate` result into a synchronous `doStream` result by
 * replaying content parts through a `ReadableStream`.
 */
export declare function createBootstrapStreamResult(result: BootstrapGenerateResult): BootstrapStreamResult;
/**
 * Rough token estimate based on character length (1 token per 4 chars).
 */
export declare function estimateTokenCount(value: string): number;
/**
 * Extracts all text from a prompt message's content, joining text parts.
 */
export declare function getPromptContentText(content: BootstrapPrompt[number]["content"]): string;
/**
 * Returns the text from the last user message in the prompt, or `null`.
 */
export declare function getLastUserPromptText(prompt: BootstrapPrompt): string | null;
/**
 * Joins all message content in the prompt into a single string.
 */
export declare function getPromptText(prompt: BootstrapPrompt): string;
export {};