import type { LanguageModel } from "ai";
export interface ScriptedModelCall {
    prompt: Array<{
        role: string;
        content: string | Array<{
            type?: string;
            text?: string;
        }>;
        /** Per-message provider hints (e.g. the Anthropic ephemeral cache
         *  breakpoint the generation prompt sets on its stable prefix). Present in
         *  the normalized LanguageModelV2 prompt so tests can assert on it. */
        providerOptions?: Record<string, unknown>;
    }>;
    /** W4 pipeline — the tool definitions the caller passed (strict tool-use
     *  calls), so tests can assert on the generated fix-space schema. */
    tools?: Array<{
        name: string;
        description?: string;
        inputSchema?: unknown;
    }>;
    toolChoice?: unknown;
}
/** A scripted turn is either streamed text or one forced tool call
 *  (W4 pipeline — structured repair / outline are strict tool-use calls). */
export interface ScriptedToolCall {
    tool: string;
    input: unknown;
}
type ScriptedText = string | string[] | ScriptedToolCall;
export type ScriptedModelResponse = ScriptedText | ((call: ScriptedModelCall, index: number) => ScriptedText | Promise<ScriptedText>);
/** Deterministic LanguageModelV2 equivalent for AI SDK generateText e2e tests. */
export declare const scriptedLanguageModel: (...responses: ScriptedModelResponse[]) => LanguageModel;
/** Compatibility fixture for lifecycle/execution suites that only need valid generation. */
export declare const basicLanguageModel: () => LanguageModel;
export {};
//# sourceMappingURL=scripted-model.d.ts.map