/* * ThunderAI [https://micz.it/thunderbird-addon-thunderai/] * Copyright (C) 2024 - 2026 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 . */ // Some original methods derived from https://github.com/ali-raheem/Aify/blob/4ece286095ea7a6cf89d696902e6b81b5d1c3a4b/plugin/html/API.js export class OpenAIComp { host = ''; model = ''; apiKey = ''; use_v1 = true; stream = false; temperature = ''; constructor({ host = '', model = '', apiKey = '', stream = false, use_v1 = true, temperature = '', } = {}) { this.host = (host || '').trim().replace(/\/+$/, ""); this.model = model; this.stream = stream; this.apiKey = apiKey; this.use_v1 = use_v1; this.temperature = temperature; } fetchModels = async () => { const curr_headers = { "Content-Type": "application/json", }; if(this.apiKey !== '') curr_headers["Authorization"] = "Bearer "+ this.apiKey; if(this.host.includes('openrouter.ai')) { curr_headers['HTTP-Referer'] = 'https://micz.it/thunderbird-addon-thunderai/'; curr_headers['X-Title'] = 'ThunderAI'; } const response = await fetch(this.host + (this.use_v1 ? "/v1" : "") + "/models", { method: "GET", headers: curr_headers, }); if (!response.ok) { const errorDetail = await response.text(); let err_msg = "[ThunderAI] OpenAI API Comp 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(); output.response = output_response.data; return output; } fetchResponse = async (messages, maxTokens = 0) => { try{ const tempFloat = parseFloat(this.temperature); const curr_headers = { "Content-Type": "application/json", }; if(this.apiKey !== '') curr_headers["Authorization"] = "Bearer "+ this.apiKey; try { const response = await fetch(this.host + (this.use_v1 ? "/v1" : "") + "/chat/completions", { method: "POST", headers: curr_headers, body: JSON.stringify({ model: this.model, messages: messages, stream: this.stream, ...(maxTokens > 0 ? { 'max_tokens': parseInt(maxTokens) } : {}), ...(this.temperature != '' && !Number.isNaN(tempFloat) ? { 'temperature': tempFloat } : {}) }), }); return response; }catch (error) { console.error("[ThunderAI] OpenAI API Comp request failed: " + error); let output = {}; output.is_exception = true; output.ok = false; output.error = "OpenAI API Comp request failed: " + error; return output; } }catch (error) { console.error("[ThunderAI] OpenAI API Comp request failed: " + error); let output = {}; output.is_exception = true; output.ok = false; output.error = "OpenAI API Comp request failed: " + error; return output; } } }