langextract
Version:
A TypeScript library for extracting structured and grounded information from text using LLMs
56 lines • 2 kB
TypeScript
/**
* Copyright 2025 kmbro.
*
* This is a TypeScript translation of the original Python LangExtract library
* by Google LLC (https://github.com/google/langextract).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import { ExampleData, FormatType } from "./types";
export declare class PromptBuilderError extends Error {
constructor(message: string);
}
export declare class ParseError extends PromptBuilderError {
constructor(message: string);
}
export interface PromptTemplateStructured {
description: string;
examples: ExampleData[];
}
/**
* Reads a structured prompt template from a file.
*/
export declare function readPromptTemplateStructuredFromFile(promptPath: string): PromptTemplateStructured;
export interface QAPromptGenerator {
template: PromptTemplateStructured;
formatType: FormatType;
attributeSuffix: string;
examplesHeading: string;
questionPrefix: string;
answerPrefix: string;
fenceOutput: boolean;
}
export declare class QAPromptGeneratorImpl implements QAPromptGenerator {
template: PromptTemplateStructured;
formatType: FormatType;
attributeSuffix: string;
examplesHeading: string;
questionPrefix: string;
answerPrefix: string;
fenceOutput: boolean;
constructor(template: PromptTemplateStructured);
formatExampleAsText(example: ExampleData): string;
render(question: string, additionalContext?: string): string;
toString(): string;
}
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