adpa-enterprise-framework-automation
Version:
Modular, standards-compliant Node.js/TypeScript automation framework for enterprise requirements, project, and data management. Provides CLI and API for BABOK v3, PMBOK 7th Edition, and DMBOK 2.0 (in progress). Production-ready Express.js API with TypeSpe
53 lines • 2.66 kB
TypeScript
/**
* Base processor for common functionality across AI processors
* Enhanced with tailored prompt engineering capabilities
*/
import { EnhancedGenerationOptions } from "../EnhancedAIProcessor.js";
import { ChatMessage } from "../types.js";
import { FewShotConfig } from "../few-shot-config.js";
export declare abstract class BaseAIProcessor {
/**
* Enhanced AI call with tailored prompts
*/
protected handleEnhancedAICall(documentType: string, projectContext: string, options?: EnhancedGenerationOptions): Promise<string | null>;
/**
* Legacy AI call for backward compatibility
*/
protected handleAICall(operation: () => Promise<string | null>, operationName: string, cacheKey?: string): Promise<string | null>;
/**
* Create standard messages (legacy method)
*/
protected createStandardMessages(systemPrompt: string, userPrompt: string): ChatMessage[];
/**
* Try enhanced generation first, fallback to legacy if needed
*/
protected handleAICallWithFallback(documentType: string, projectContext: string, legacyOperation: () => Promise<string | null>, operationName: string, options?: EnhancedGenerationOptions): Promise<string | null>;
/**
* Create enhanced messages with few-shot learning examples
* @param systemPrompt Base system prompt
* @param userPrompt User prompt with context
* @param documentType Type of document for few-shot examples
* @param tokenLimit Token limit for the AI call
* @param config Few-shot learning configuration
* @returns Array of chat messages including few-shot examples
*/
protected createEnhancedMessages(systemPrompt: string, userPrompt: string, documentType: string, tokenLimit?: number, config?: Partial<FewShotConfig>): ChatMessage[];
/**
* Select random examples from the available examples
* @param examples Available examples
* @param count Number of examples to select
* @returns Randomly selected examples
*/
private selectRandomExamples;
/**
* Create PMBOK-specific enhanced messages with domain expertise
* @param documentType Type of PMBOK document
* @param context Project context
* @param additionalContext Additional context items
* @param tokenLimit Token limit for the AI call
* @param config Few-shot learning configuration
* @returns Enhanced chat messages with few-shot examples
*/
protected createPMBOKMessages(documentType: string, context: string, additionalContext?: string[], tokenLimit?: number, config?: Partial<FewShotConfig>): ChatMessage[];
}
//# sourceMappingURL=BaseAIProcessor.d.ts.map