ThunderAI/js/workers/model-worker-anthropic.js

154 lines
6.1 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 { Anthropic } from '../api/anthropic.js';
import { taLogger } from '../mzta-logger.js';
let anthropic_api_key = null;
let anthropic_model = '';
let anthropic = null;
let stopStreaming = false;
let i18nStrings = null;
let do_debug = false;
let taLog = null;
let conversationHistory = [];
let assistantResponseAccumulator = '';
self.onmessage = async function(event) {
if (event.data.type === 'init') {
anthropic_api_key = event.data.anthropic_api_key;
anthropic_model = event.data.anthropic_model;
anthropic = new Anthropic({
apiKey: anthropic_api_key,
version: event.data.anthropic_version,
model: anthropic_model,
max_tokens: event.data.anthropic_max_tokens,
stream: true
});
do_debug = event.data.do_debug;
i18nStrings = event.data.i18nStrings;
taLog = new taLogger('model-worker-anthropic', do_debug);
} else if (event.data.type === 'chatMessage') {
conversationHistory.push({ role: 'user', content: event.data.message });
const response = await anthropic.fetchResponse(conversationHistory);
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["anthropic_api_request_failed"] + ": " + response.status + " " + response.statusText + ", Detail: " + error_message + " " + errorDetail });
throw new Error("[ThunderAI] Anthropic API request failed: " + response.status + " " + response.statusText + ", Detail: " + error_message + " " + errorDetail);
}
const reader = response.body.getReader();
const decoder = new TextDecoder("utf-8");
let buffer = '';
while (true) {
if (stopStreaming) {
stopStreaming = false;
reader.cancel();
conversationHistory.push({ role: 'assistant', content: assistantResponseAccumulator });
assistantResponseAccumulator = '';
postMessage({ type: 'tokensDone' });
break;
}
const { done, value } = await reader.read();
if (done) {
conversationHistory.push({ role: 'assistant', content: assistantResponseAccumulator });
assistantResponseAccumulator = '';
postMessage({ type: 'tokensDone' });
break;
}
// lots of low-level Anthropic response parsing stuff
const chunk = decoder.decode(value);
buffer += chunk;
taLog.log("buffer " + buffer);
const lines = buffer.split("\n");
buffer = lines.pop();
for (const line of lines) {
const cleanLine = line.trim();
// Ignore ping events
if (cleanLine === '' || cleanLine.startsWith('event: ping')) {
continue;
}
// Remove "data: " and parse the JSON
if (cleanLine.startsWith('data: ')) {
const jsonPart = cleanLine.replace(/^data: /, '');
let parsedData = null;
try {
parsedData = JSON.parse(jsonPart);
} catch (e) {
taLog.error("JSON parse error: " + e);
continue;
}
// Events handling
switch (parsedData.type) {
case 'content_block_delta':
if (parsedData.delta && parsedData.delta.text) {
const token = parsedData.delta.text;
assistantResponseAccumulator += token;
postMessage({ type: 'newToken', payload: { token } });
}
break;
case 'content_block_start':
// optional
break;
case 'message_start':
// optional
break;
case 'message_stop':
conversationHistory.push({ role: 'assistant', content: assistantResponseAccumulator });
assistantResponseAccumulator = '';
postMessage({ type: 'tokensDone' });
return; // end the loop
}
}
}
}
} else if (event.data.type === 'stop') {
stopStreaming = true;
}
};