@craftapit/tester/dist/adapters/LLMAdapter.js

A focused, LLM-powered testing framework for natural language test scenarios

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.LLMAdapter = void 0;
const BaseAdapter_1 = require("./BaseAdapter");
class LLMAdapter extends BaseAdapter_1.BaseAdapter {
    constructor(config) {
        super(config);
    }
    async initialize() {
        console.log('Initializing LLM adapter');
        // In a real implementation, this would initialize the LLM client
    }
    async cleanup() {
        console.log('Cleaning up LLM adapter');
        // In a real implementation, this would clean up the LLM client
    }
    /**
     * Complete a prompt with the LLM
     * @param prompt The prompt to complete
     * @returns The completion text
     */
    async complete(prompt) {
        console.log(`Completing prompt: ${prompt.substring(0, 50)}...`);
        // In a real implementation, this would call the LLM API
        return "This is a mock completion from the base LLM adapter";
    }
    async suggestAction(instruction, screenState) {
        console.log(`Suggesting action for: ${instruction}`);
        // In a real implementation, this would call the LLM API
        return {
            actionType: 'click',
            target: { text: 'Submit' },
            reasoning: 'The instruction indicates a submission action',
            confidence: 0.9
        };
    }
    async verifyCondition(condition, screenState) {
        console.log(`Verifying condition: ${condition}`);
        // In a real implementation, this would call the LLM API
        return { success: true };
    }
}
exports.LLMAdapter = LLMAdapter;