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@promptbook/google

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Promptbook: Run AI apps in plain human language across multiple models and platforms

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import type { Expectations } from '../../pipeline/PipelineJson/Expectations'; import type { string_postprocessing_function_name } from '../../types/typeAliases'; /** * Gets the expectations and creates a fake text that meets the expectations * * Note: `$` is used to indicate that this function is not a pure function - it is not deterministic * Note: You can provide postprocessing functions to modify the text before checking the expectations * The result will be the text BEFORE the postprocessing * * @private internal utility for MockedFackedLlmExecutionTools */ export declare function $fakeTextToExpectations(expectations: Expectations, postprocessingFunctionNames?: ReadonlyArray<string_postprocessing_function_name>): Promise<string>; /** * TODO: [💝] Unite object for expecting amount and format - use here also a format */