@promptbook/browser/esm/typings/src/book-2.0/commitments/KNOWLEDGE/KNOWLEDGE.d.ts

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

import { BaseCommitmentDefinition } from '../_base/BaseCommitmentDefinition';
import type { AgentModelRequirements } from '../_misc/AgentModelRequirements';
import { FrontendRAGService } from './FrontendRAGService';
/**
 * KNOWLEDGE commitment definition
 *
 * The KNOWLEDGE commitment adds specific knowledge, facts, or context to the agent
 * using RAG (Retrieval-Augmented Generation) approach for external sources.
 *
 * Supports both direct text knowledge and external sources like PDFs.
 *
 * Example usage in agent source:
 *
 * ```book
 * KNOWLEDGE The company was founded in 2020 and specializes in AI-powered solutions
 * KNOWLEDGE https://example.com/company-handbook.pdf
 * KNOWLEDGE https://example.com/product-documentation.pdf
 * ```
 *
 * @private [🪔] Maybe export the commitments through some package
 */
export declare class KnowledgeCommitmentDefinition extends BaseCommitmentDefinition<'KNOWLEDGE'> {
    private ragService;
    constructor();
    /**
     * Short one-line description of KNOWLEDGE.
     */
    get description(): string;
    /**
     * Markdown documentation for KNOWLEDGE commitment.
     */
    get documentation(): string;
    applyToAgentModelRequirements(requirements: AgentModelRequirements, content: string): AgentModelRequirements;
    /**
     * Check if content is a URL
     */
    private isUrl;
    /**
     * Get RAG service instance for retrieving context during chat
     */
    getRagService(): FrontendRAGService;
}
/**
 * Singleton instance of the KNOWLEDGE commitment definition
 *
 * @private [🪔] Maybe export the commitments through some package
 */
export declare const KnowledgeCommitment: KnowledgeCommitmentDefinition;
/**
 * Note: [💞] Ignore a discrepancy between file name and entity name
 */