Delete aiEngine.js

aiEngine.js

@@ -1,91 +0,0 @@
-// aiEngine.js
-import { GoogleGenAI } from '@google/genai';
-
-/* import dotenv from 'dotenv';
-dotenv.config();
-*/
-
-const genAI = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
-
-console.log(process.env.GEMINI_API_KEY);
-
-// Prompt Loader
-import fs from 'fs';
-const prompts = JSON.parse(fs.readFileSync('./prompts.json', 'utf8'));
-
-export const AIEngine = {
-  /**
-   * PM MODEL (Gemini 3.0 Pro Preview - High Thinking)
-   */
-  callPM: async (history, input) => {
-    const modelId = 'gemini-3-pro-preview'; // Per prompt requirements
-    const config = {
-      thinkingConfig: { thinkingLevel: 'HIGH' },
-      tools: [{ 
-        systemInstruction: [{
-          text: prompts.pm_system_prompt
-        }],
-               googleSearch: {} }],
-    };
-
-    const contents = [
-     { role: 'user', parts: [{ text: prompts.pm_system_prompt }] }, // System instruction injection
-      ...history,
-      { role: 'user', parts: [{ text: input }] }
-    ];
-
-    try {
-      const response = await genAI.models.generateContent({
-        model: modelId,
-        config,
-        contents,
-      });
-      return response.text; // Simple text return for non-stream internal logic
-    } catch (error) {
-      console.error("PM AI Error:", error);
-      throw error;
-    }
-  },
-
-  /**
-   * WORKER MODEL (Gemini 2.5 Flash - Fast execution)
-   */
-  callWorker: async (history, input, imagePart = null) => {
-   /* const modelId = 'gemini-flash-latest'; // Per prompt requirements
-    const config = {
-      thinkingConfig: { thinkingBudget: -1 }, // Standard generation
-    */
-    const modelId = 'gemini-3-pro-preview'; // Per prompt requirements
-    const config = {
-      thinkingConfig: { thinkingLevel: 'HIGH' },
-      tools: [{ 
-        systemInstruction: [{
-          text: prompts.worker_system_prompt
-        }],
-        googleSearch: {} }],
-    };
-
-    const currentParts = [{ text: input }];
-    if (imagePart) {
-      currentParts.push(imagePart);
-    }
-
-    const contents = [
-     { role: 'user', parts: [{ text: prompts.worker_system_prompt }] },
-      ...history,
-      { role: 'user', parts: currentParts }
-    ];
-
-    try {
-      const response = await genAI.models.generateContent({
-        model: modelId,
-        config,
-        contents,
-      });
-      return response.text;
-    } catch (error) {
-      console.error("Worker AI Error:", error);
-      throw error;
-    }
-  }
-};