@craftapit/tester/src/adapters/LLMAdapter.ts

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

import { BaseAdapter } from './BaseAdapter';
import { ScreenState, UIAction } from '../types/actions';

export class LLMAdapter extends BaseAdapter {
  constructor(config: any) {
    super(config);
  }
  
  async initialize(): Promise<void> {
    console.log('Initializing LLM adapter');
    // In a real implementation, this would initialize the LLM client
  }
  
  async cleanup(): Promise<void> {
    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: string): Promise<string> {
    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: string,
    screenState: ScreenState
  ): Promise<UIAction> {
    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: string,
    screenState: ScreenState
  ): Promise<{ success: boolean; reason?: string }> {
    console.log(`Verifying condition: ${condition}`);
    // In a real implementation, this would call the LLM API
    return { success: true };
  }
}