220 lines
8.6 KiB
JavaScript
220 lines
8.6 KiB
JavaScript
/*
|
|
* 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 <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 '../api/openai.js';
|
|
import { taLogger } from '../mzta-logger.js';
|
|
|
|
let chatgpt_api_key = null;
|
|
let chatgpt_model = '';
|
|
let openai = null;
|
|
let stopStreaming = false;
|
|
let i18nStrings = null;
|
|
let do_debug = false;
|
|
let taLog = null;
|
|
|
|
let conversationHistory = [];
|
|
let assistantResponseAccumulator = '';
|
|
|
|
// Token batching configuration - optimized for better performance
|
|
const TOKEN_BATCH_SIZE = 25; // Send tokens in batches of 25 characters
|
|
const TOKEN_BATCH_DELAY = 25; // Max 25ms between batches
|
|
const TOKEN_BATCH_TIMEOUT = 100; // Force flush after 100ms regardless of size
|
|
let tokenBatch = '';
|
|
let batchTimer = null;
|
|
let timeoutTimer = null;
|
|
let lastBatchTime = 0;
|
|
let batchStartTime = 0;
|
|
|
|
// Function to send batched tokens
|
|
function sendTokenBatch(force = false, reason = 'unknown') {
|
|
if (tokenBatch && (force || tokenBatch.length >= TOKEN_BATCH_SIZE || performance.now() - lastBatchTime >= TOKEN_BATCH_DELAY)) {
|
|
postMessage({ type: 'tokenBatch', payload: { tokens: tokenBatch } });
|
|
|
|
// Reset batch state
|
|
tokenBatch = '';
|
|
lastBatchTime = performance.now();
|
|
batchStartTime = 0;
|
|
|
|
// Clear all timers
|
|
if (batchTimer) {
|
|
clearTimeout(batchTimer);
|
|
batchTimer = null;
|
|
}
|
|
if (timeoutTimer) {
|
|
clearTimeout(timeoutTimer);
|
|
timeoutTimer = null;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Function to add token to batch
|
|
function addTokenToBatch(token) {
|
|
tokenBatch += token;
|
|
|
|
// Set batch start time for the first token
|
|
if (tokenBatch.length === token.length) {
|
|
batchStartTime = performance.now();
|
|
}
|
|
|
|
// Send immediately if batch is full
|
|
if (tokenBatch.length >= TOKEN_BATCH_SIZE) {
|
|
sendTokenBatch(true, 'size-limit');
|
|
} else {
|
|
// Set timer to send batch if it's the first token in a new batch
|
|
if (tokenBatch.length === token.length && !batchTimer) {
|
|
batchTimer = setTimeout(() => sendTokenBatch(true, 'delay-timeout'), TOKEN_BATCH_DELAY);
|
|
}
|
|
|
|
// Set timeout-based flushing if not already set
|
|
if (!timeoutTimer) {
|
|
timeoutTimer = setTimeout(() => sendTokenBatch(true, 'timeout-flush'), TOKEN_BATCH_TIMEOUT);
|
|
}
|
|
}
|
|
}
|
|
|
|
self.onmessage = async function(event) {
|
|
if (event.data.type === 'init') {
|
|
chatgpt_api_key = event.data.chatgpt_api_key;
|
|
chatgpt_model = event.data.chatgpt_model;
|
|
openai = new OpenAI(chatgpt_api_key, chatgpt_model, event.data.chatgpt_developer_messages, true, event.data.chatgpt_api_store);
|
|
do_debug = event.data.do_debug;
|
|
i18nStrings = event.data.i18nStrings;
|
|
taLog = new taLogger('model-worker-openai', do_debug);
|
|
} else if (event.data.type === 'chatMessage') {
|
|
|
|
conversationHistory.push({ role: 'user', content: event.data.message });
|
|
|
|
const response = await openai.fetchResponse(conversationHistory); //4096);
|
|
|
|
postMessage({ type: 'messageSent' });
|
|
|
|
if (!response.ok) {
|
|
let error_message = '';
|
|
let errorDetail = '';
|
|
if(response.is_exception === true){
|
|
error_message = response.error;
|
|
}else{
|
|
try{
|
|
const errorJSON = await response.json();
|
|
errorDetail = JSON.stringify(errorJSON);
|
|
error_message = errorJSON.error.message;
|
|
}catch(e){
|
|
error_message = response.statusText;
|
|
}
|
|
taLog.log("error_message: " + JSON.stringify(error_message));
|
|
}
|
|
postMessage({ type: 'error', payload: i18nStrings["chatgpt_api_request_failed"] + ": " + response.status + " " + response.statusText + ", Detail: " + error_message + " " + errorDetail });
|
|
throw new Error("[ThunderAI] OpenAI ChatGPT API request failed: " + response.status + " " + response.statusText + ", Detail: " + error_message + " " + errorDetail);
|
|
}
|
|
|
|
// Check if this is a streaming or non-streaming response
|
|
const isStreaming = response.headers.get('content-type')?.includes('text/event-stream');
|
|
|
|
if (!isStreaming) {
|
|
// Handle non-streaming response
|
|
try {
|
|
const responseData = await response.json();
|
|
const content = responseData.choices[0].message.content;
|
|
|
|
conversationHistory.push({ role: 'assistant', content: content });
|
|
assistantResponseAccumulator = content;
|
|
|
|
// Send the complete response as a single batch
|
|
postMessage({ type: 'tokenBatch', payload: { tokens: content } });
|
|
postMessage({ type: 'tokensDone' });
|
|
return;
|
|
} catch (error) {
|
|
console.error(`[ThunderAI Worker Debug] Error processing non-streaming response:`, error);
|
|
postMessage({ type: 'error', payload: 'Failed to process non-streaming response: ' + error.message });
|
|
return;
|
|
}
|
|
}
|
|
|
|
const reader = response.body.getReader();
|
|
const decoder = new TextDecoder("utf-8");
|
|
let buffer = '';
|
|
|
|
console.log(`[ThunderAI Worker Debug] Starting to read stream...`);
|
|
|
|
while (true) {
|
|
if (stopStreaming) {
|
|
stopStreaming = false;
|
|
reader.cancel();
|
|
|
|
// Send any remaining tokens in the batch
|
|
sendTokenBatch(true, 'stream-stop');
|
|
|
|
conversationHistory.push({ role: 'assistant', content: assistantResponseAccumulator });
|
|
assistantResponseAccumulator = '';
|
|
postMessage({ type: 'tokensDone' });
|
|
break;
|
|
}
|
|
const { done, value } = await reader.read();
|
|
|
|
if (done) {
|
|
// Send any remaining tokens in the batch
|
|
sendTokenBatch(true, 'stream-stop');
|
|
|
|
conversationHistory.push({ role: 'assistant', content: assistantResponseAccumulator });
|
|
assistantResponseAccumulator = '';
|
|
|
|
postMessage({ type: 'tokensDone' });
|
|
break;
|
|
}
|
|
|
|
// lots of low-level OpenAI response parsing stuff
|
|
const chunk = decoder.decode(value);
|
|
buffer += chunk;
|
|
taLog.log("buffer " + buffer);
|
|
const lines = buffer.split("\n");
|
|
buffer = lines.pop();
|
|
let parsedLines = [];
|
|
try{
|
|
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
|
|
.map((line) => {
|
|
taLog.log("line: " + JSON.stringify(line));
|
|
return JSON.parse(line);
|
|
});
|
|
}catch(e){
|
|
taLog.error("Error parsing lines: " + e);
|
|
}
|
|
|
|
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;
|
|
|
|
// Add to batch instead of sending immediately
|
|
addTokenToBatch(content);
|
|
}
|
|
}
|
|
}
|
|
} else if (event.data.type === 'stop') {
|
|
stopStreaming = true;
|
|
}
|
|
};
|