@callmedayz/ai-prompt-toolkit
Version:
Professional AI prompt engineering toolkit with advanced template features, real-time dashboards, conditional logic, template inheritance, live monitoring, OpenRouter integration, and 310+ model support
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TypeScript
import { FewShotOptions, FewShotResult, FewShotExample } from './types';
/**
* Few-Shot Learning Prompt Template System
* Creates prompts with examples to guide AI model behavior through demonstration
*/
export declare class FewShotTemplate {
private options;
private template;
constructor(options: FewShotOptions);
/**
* Generate the few-shot learning prompt
*/
generate(input: string): FewShotResult;
/**
* Add a new example
*/
addExample(example: FewShotExample): FewShotTemplate;
/**
* Remove an example by index
*/
removeExample(index: number): FewShotTemplate;
/**
* Update an example by index
*/
updateExample(index: number, example: FewShotExample): FewShotTemplate;
/**
* Get all examples
*/
getExamples(): FewShotExample[];
/**
* Set maximum number of examples to include
*/
setMaxExamples(max: number): FewShotTemplate;
/**
* Create a template for common few-shot patterns
*/
static createPattern(pattern: 'classification' | 'extraction' | 'transformation' | 'qa' | 'generation', task: string): FewShotTemplate;
/**
* Create a balanced few-shot template with diverse examples
*/
static createBalanced(task: string, examples: FewShotExample[], options?: Partial<FewShotOptions>): FewShotTemplate;
private static balanceExamples;
private buildTemplate;
}
/**
* Utility function to create a quick few-shot prompt
*/
export declare function createFewShot(task: string, examples: Array<{
input: string;
output: string;
explanation?: string;
}>, input: string, options?: Partial<FewShotOptions>): FewShotResult;
/**
* Create few-shot examples from a dataset
*/
export declare function createExamplesFromData(data: Array<{
input: any;
output: any;
}>, maxExamples?: number): FewShotExample[];
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