139 lines
4.3 KiB
JavaScript
139 lines
4.3 KiB
JavaScript
#!/usr/bin/env node
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//IRC bot that responds to !chat, queries the chatgpt api, and prints the response line by line
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const irc = require('irc');
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const axios = require('axios');
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const config = require('./config.json');
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// context is a list of strings that are used to seed the chatgpt api and it's responses
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class Context {
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messages = [];
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currentResponse = '';
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add_user_message(message) {
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this.messages.push({ role: 'user', content: message });
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}
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add_assistant_message(message) {
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this.messages.push({ role: 'assistant', content: message });
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}
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append_current_response(message) {
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this.currentResponse += message;
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}
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end_line() {
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const response_so_far = this.currentResponse;
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this.currentResponse += "\n\n"
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return response_so_far;
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}
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finish_current_response() {
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this.add_assistant_message(this.currentResponse);
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const the_response = this.currentResponse;
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this.currentResponse = '';
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return the_response;
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}
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is_response_in_progress() {
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return this.currentResponse !== '';
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}
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clear() {
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this.messages = [];
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this.currentResponse = '';
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}
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}
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const context = new Context();
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const client = new irc.Client(config.server, config.nick, {
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channels: config.channels,
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});
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// listen for messages that start with !chat and call the chatgpt api with a callback that prints the response line by line
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client.addListener('message', async (from, to, message) => {
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is_chat_cmd = message.startsWith('!chat');
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is_cont_cmd = message.startsWith('!cont');
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if (is_chat_cmd || is_cont_cmd) {
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if(context.is_response_in_progress()) { return; }
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if(is_chat_cmd) {
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context.clear();
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}
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const query = message.slice(6);
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chatgpt(query, (line) => {
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client.say(to, line);
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});
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}
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});
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// function that calls the chatgpt streaming api (with server send events) and calls the callback function for each line
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async function chatgpt(query, callback) {
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// a very primitive mutex to prevent multiple calls to the api at once
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if(context.is_response_in_progress()) { return; }
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context.add_user_message(query);
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const apiUrl = 'https://api.openai.com/v1/chat/completions';
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const response = await axios.post(apiUrl, {
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messages: [context.messages],
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model: 'gpt-3.5-turbo',
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stream: true,
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}, {
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headers: {
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Authorization: `Bearer ${config.openaiApiKey}`,
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'Content-Type': 'application/json',
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},
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responseType: 'stream',
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});
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response.data.on('data', (event) => {
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let data = event.toString();
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let parts = data.split('\n');
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// parse if starts with data:
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for(part of parts) {
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console.log(part);
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if(part === 'data: [DONE]') {
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callback(context.finish_current_response());
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} else if(part.startsWith('data: ')) {
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let jsonString = part.slice(part.indexOf('{'), part.lastIndexOf('}') + 1);
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try {
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let json = JSON.parse(jsonString);
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let chunk = json.choices[0].delta.content;
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if(!chunk) {
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callback(line);
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line = '';
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continue;
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}
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//split the chunk into lines leaving the delimiter in the array
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const lines = chunk.split(/\r?\n/); // split by new lines
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let hasStartNewline = chunk.startsWith("\n");
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let hasEndNewline = chunk.endsWith("\n");
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if(hasStartNewline) {
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callback(context.end_line())
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}
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for (let i = 0; i < lines.length - 1; i++) {
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context.append_current_response(lines[i]);
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callback(context.end_line());
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}
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context.append_current_response(lines[lines.length - 1]);
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if(hasEndNewline) {
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callback(context.end_line());
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}
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if(line.length > 400) {
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callback(line);
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line = '';
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}
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} catch (e) {
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console.log(e);
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console.log(part);
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}
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}
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}
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});
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}
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