@jackhua/mini-langchain/dist/prompts/prompt.d.ts

A lightweight TypeScript implementation of LangChain with cost optimization features

import { PromptTemplate as IPromptTemplate } from '../core/types';
/**
 * A prompt template for a language model.
 *
 * A prompt template consists of a string template with variables that can be formatted.
 *
 * Example:
 * ```typescript
 * const template = new PromptTemplate({
 *   template: "Tell me a {adjective} joke about {topic}",
 *   inputVariables: ["adjective", "topic"]
 * });
 *
 * const prompt = template.format({
 *   adjective: "funny",
 *   topic: "chickens"
 * });
 * // Result: "Tell me a funny joke about chickens"
 * ```
 */
export declare class PromptTemplate implements IPromptTemplate {
    template: string;
    inputVariables: string[];
    partialVariables: Record<string, any>;
    constructor(config: {
        template: string;
        inputVariables: string[];
        partialVariables?: Record<string, any>;
        skipValidation?: boolean;
    });
    /**
     * Validate that all variables in the template are accounted for
     */
    private validateTemplate;
    /**
     * Extract variables from a template string
     */
    private extractVariables;
    /**
     * Format the prompt with the given values
     */
    format(values: Record<string, any>): string;
    /**
     * Partial format - create a new template with some variables already filled
     */
    partial(values: Record<string, any>): PromptTemplate;
    /**
     * Create a prompt template from a string with automatic variable detection
     */
    static fromTemplate(template: string): PromptTemplate;
}
/**
 * A chat prompt template for conversations
 */
export interface ChatPromptValue {
    messages: Array<{
        role: string;
        content: string;
    }>;
}
export declare class ChatPromptTemplate {
    private messages;
    constructor(messages: Array<[string, string | PromptTemplate]>);
    /**
     * Format the chat prompt with the given values
     */
    format(values: Record<string, any>): ChatPromptValue;
    /**
     * Create a chat prompt template from messages
     */
    static fromMessages(messages: Array<[string, string]>): ChatPromptTemplate;
}
/**
 * Common prompt templates
 */
export declare class PromptTemplates {
    /**
     * A simple question-answering prompt
     */
    static QA: PromptTemplate;
    /**
     * A summarization prompt
     */
    static SUMMARIZE: PromptTemplate;
    /**
     * A chat conversation prompt
     */
    static CHAT: ChatPromptTemplate;
    /**
     * A few-shot learning prompt
     */
    static fewShot(examples: Array<{
        input: string;
        output: string;
    }>, suffix: string): PromptTemplate;
}
//# sourceMappingURL=prompt.d.ts.map