ctrlshiftleft/dist/core/llmService.d.ts

AI-powered toolkit for embedding QA and security testing into development workflows

import { TestScenario } from '../types/testTypes';
interface SemanticSearchMatch {
    line?: number;
    score: number;
    snippet?: string;
    securityContext?: string;
}
export declare class LLMService {
    private openai;
    constructor();
    /**
     * Extract test scenarios from source code using LLM
     * @param sourceCode Source code to analyze
     * @param filePath Path to the source file (for context)
     * @returns Array of test scenarios
     */
    extractTestScenarios(sourceCode: string, filePath: string): Promise<TestScenario[]>;
    /**
     * Build prompt for test generation
     */
    private buildTestGenerationPrompt;
    /**
     * Generate QA and security checklist from source code
     * @param sourceCode Source code to analyze
     * @param filePath Path to the source file (for context)
     * @param type Type of checklist to generate (security or quality)
     * @returns Checklist in JSON format
     */
    generateChecklist(sourceCode: string, filePath: string, type: string): Promise<any>;
    /**
     * Build a prompt for generating security checklist from code
     * @param sourceCode Source code content to analyze
     * @param filePath Path to the source file (for context)
     * @param type Type of checklist to generate (security or quality)
     * @returns Prompt for generating checklists
     */
    private buildChecklistGenerationPrompt;
    /**
     * Perform semantic search on source code to find security issues
     * @param sourceCode Source code to analyze
     * @param query Search query for semantic matching
     * @returns Array of matches with relevance scores
     */
    performSemanticSearch(sourceCode: string, query: string): Promise<SemanticSearchMatch[]>;
}
export {};