ThunderAI/api_webchat/model-worker.js
2024-07-29 22:54:00 +02:00

128 lines
5.2 KiB
JavaScript

/*
* ThunderAI [https://micz.it/thunderbird-addon-thunderai/]
* Copyright (C) 2024 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 <http://www.gnu.org/licenses/>.
*
*
* This file contains a modified version of the code from the project at https://github.com/boxabirds/chatgpt-frontend-nobuild
* The original code has been released under the Apache License, Version 2.0.
*/
import { OpenAI } from '../js/api/openai.js';
//========================== for testing
// const MOCK_TOKENS = ['Good', ' morning', ' Mr', ' Plop', 'py', ',', 'and', ' I', ' said', '\n', '"', 'Good', ' morn', 'ing', ' Mrs',' Plop', 'py', ,'"', '\n', 'Oh', ' how', ' the', ' win', 'ter', ' even', 'ings', ' must', ' just', ' fly'];
// function mockDelay(ms) {
// return new Promise(resolve => setTimeout(resolve, ms));
// }
// async function processMockTokens() {
// for (const token of MOCK_TOKENS) {
// await mockDelay(Math.random() * 50 + 50); // Random delay between 100ms and 150ms
// postMessage({ type: 'newToken', payload: { token } });
// }
// postMessage({ type: 'tokensDone' });
// }
//========================== for testing - END
let api_key_chatgpt = null;
let openai = null;
let conversationHistory = [];
let assistantResponseAccumulator = '';
self.onmessage = async function(event) {
if (event.data.type === 'init') {
api_key_chatgpt = event.data.api_key_chatgpt;
//console.log(">>>>>>>>>>> api_key_chatgpt: " + api_key_chatgpt);
openai = new OpenAI(api_key_chatgpt, true);
} else if (event.data.type === 'chatMessage') {
conversationHistory.push({ role: 'user', content: event.data.message });
// ============================== TESTING
// // Simulate sending the message to an HTTP endpoint
// await mockDelay(1000); // Wait for 1 second
// // Notify that the chat message was sent
// postMessage({ type: 'messageSent' });
// // Start processing tokens
// await processMockTokens();
// return;
// ============================== TESTING - END
// https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo
// 4096 output tokens
// 128,000 input tokens
// const response = await fetch(API_URL, {
// method: "POST",
// headers: {
// "Content-Type": "application/json",
// "Authorization": `Bearer ${openaiApiKey}`,
// },
// body: JSON.stringify({
// model: "gpt-4-1106-preview",
// messages: conversationHistory,
// stream: true,
// }),
// });
const response = await openai.fetchResponse("gpt-4o-mini", conversationHistory); //4096);
postMessage({ type: 'messageSent' });
if (!response.ok) {
const errorJSON = await response.json();
const errorDetail = JSON.stringify(errorJSON);
//console.log(">>>>>>>>>>>>> errorJSON.error.message: " + JSON.stringify(errorJSON.error.message));
postMessage({ type: 'error', payload: errorJSON.error.message });
throw new Error("[ThunderAI] OpenAI API request failed: " + response.status + " " + response.statusText + ", Detail: " + errorDetail);
}
const reader = response.body.getReader();
const decoder = new TextDecoder("utf-8");
while (true) {
const { done, value } = await reader.read();
if (done) {
conversationHistory.push({ role: 'assistant', content: assistantResponseAccumulator });
assistantResponseAccumulator = '';
postMessage({ type: 'tokensDone' });
break;
}
// lots of low-level OpenAI response parsing stuff
const chunk = decoder.decode(value);
const lines = chunk.split("\n");
const parsedLines = lines
.map((line) => line.replace(/^data: /, "").trim()) // Remove the "data: " prefix
.filter((line) => line !== "" && line !== "[DONE]") // Remove empty lines and "[DONE]"
.map((line) => JSON.parse(line)); // Parse the JSON string
for (const parsedLine of parsedLines) {
const { choices } = parsedLine;
const { delta } = choices[0];
const { content } = delta;
// Update the UI with the new content
if (content) {
assistantResponseAccumulator += content;
postMessage({ type: 'newToken', payload: { token: content } });
}
}
}
}
};