/* * ThunderAI [https://micz.it/thunderbird-addon-thunderai/] * Copyright (C) 2024 - 2025 Mic (m@micz.it) * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * You should have received a copy of the GNU General Public License * along with this program. If not, see . */ export class GoogleGemini { apiKey = ''; model = ''; system_instruction = ''; stream = false; thinking_budget = ''; // Model default constructor({ apiKey = '', model = '', system_instruction = '', stream = false, thinking_budget = '', } = {}) { this.apiKey = apiKey; this.model = model; this.system_instruction = system_instruction; this.stream = stream; this.thinking_budget = String(thinking_budget ?? '').trim(); /* Info from: https://ai.google.dev/gemini-api/docs/thinking?#set-budget # Turn on thinking with a specific token limit: "thinking_budget": 1024 # Thinking off: "thinking_budget": 0 # Turn on dynamic thinking: "thinking_budget": -1 # Keep model default thinking: "thinking_budget": "" */ } fetchModels = async () => { try{ const response = await fetch("https://generativelanguage.googleapis.com/v1beta/models?key=" + this.apiKey, { method: "GET", headers: { "Content-Type": "application/json" }, }); if (!response.ok) { const errorDetail = await response.text(); let err_msg = "[ThunderAI] Google Gemini API request failed: " + response.status + " " + response.statusText + ", Detail: " + errorDetail; console.error(err_msg); let output = {}; output.ok = false; output.error = errorDetail; return output; } let output = {}; output.ok = true; let output_response = await response.json(); //console.log("[ThunderAI] Google Gemini API response: " + JSON.stringify(output_response)); output.response = output_response.models; return output; }catch (error) { console.error("[ThunderAI] Google Gemini API request failed: " + error); let output = {}; output.is_exception = true; output.ok = false; output.error = "Google Gemini API request failed: " + error; return output; } } fetchResponse = async (messages) => { try { let google_gemini_body = { contents:messages }; // console.log("[ThunderAI] Google Gemini API system_instruction: " + JSON.stringify(this.system_instruction)); if(this.system_instruction !== '') { google_gemini_body.system_instruction = { parts:{ text: this.system_instruction } }; } if(this.thinking_budget !== '') { google_gemini_body.generationConfig = { thinkingConfig: { thinking_budget: this.thinking_budget, } }; } // console.log("[ThunderAI] Google Gemini API request: " + JSON.stringify(google_gemini_body)); const response = await fetch("https://generativelanguage.googleapis.com/v1beta/models/" + this.model + ":" + (this.stream ? 'streamGenerateContent?alt=sse&' : 'generateContent?') + "key=" + this.apiKey, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(google_gemini_body), }); return response; }catch (error) { console.error("[ThunderAI] Google Gemini API request failed: " + error); let output = {}; output.is_exception = true; output.ok = false; output.error = "Google Gemini API request failed: " + error; return output; } } }