Files
tg-chat-bot/src/commands/openai-chat.ts
T
melod1n 1f96e3553e * environment variable to enable/disable processing links in messages (for downloading videos)
* bot will not automatically download video from youtube or load it from cache. It will fetch video info first, then suggest to download or get video from cache (with retry options)
* some rewriting in sending/editing/replying to messages
2026-03-03 00:01:44 +03:00

161 lines
5.4 KiB
TypeScript

import {Message} from "typescript-telegram-bot-api";
import {MessageStore} from "../common/message-store";
import {
collectReplyChainText,
escapeMarkdownV2Text,
logError,
replyToMessage,
startIntervalEditor
} from "../util/utils";
import {Environment} from "../common/environment";
import {bot, openAi} from "../index";
import {Requirements} from "../base/requirements";
import {Requirement} from "../base/requirement";
import {ChatCommand} from "../base/chat-command";
export class OpenAIChat extends ChatCommand {
command = ["openai", "chatgpt"];
argsMode = "required" as const;
requirements = Requirements.Build(Requirement.BOT_CREATOR);
title = "/openAI";
description = "Chat with AI (OpenAI)";
async execute(msg: Message, match?: RegExpExecArray): Promise<void> {
console.log("OpenAI Chat: ", match);
return this.executeOpenAI(msg, match?.[3]);
}
async executeOpenAI(msg: Message, text: string): Promise<void> {
if (!text || text.trim().length === 0) return;
const chatId = msg.chat.id;
const storedMsg = await MessageStore.get(chatId, msg.message_id);
const messageParts = await collectReplyChainText(storedMsg);
console.log("MESSAGE PARTS", messageParts);
const chatMessages = messageParts.map(part => {
const content = [];
content.push({
type: part.bot ? "output_text" : "input_text",
text: (Environment.USE_NAMES_IN_PROMPT && !part.bot ? `MESSAGE FROM USER "${part.name}":\n` : "") + part.content,
});
// TODO: 03/02/2026, Danil Nikolaev: upload file then add here
// for (const image of part.images) {
// content.push({
// type: "image_url",
// imageUrl: "data:image/jpeg;base64," + image
// });
// }
return {
role: part.bot ? "assistant" : "user",
content: content,
type: "message",
};
});
chatMessages.reverse();
chatMessages.unshift({
role: "system",
content: [{type: "input_text", text: Environment.SYSTEM_PROMPT}],
type: "message"
});
let waitMessage: Message;
const startTime = Date.now();
try {
waitMessage = await bot.sendMessage({
chat_id: chatId,
text: Environment.waitThinkText,
reply_parameters: {
chat_id: chatId,
message_id: msg.message_id
}
});
const stream = await openAi.responses.create({
model: Environment.OPENAI_MODEL,
// eslint-disable-next-line @typescript-eslint/no-explicit-any
input: chatMessages as any,
stream: true
});
let currentText = "";
let shouldBreak = false;
const editor = startIntervalEditor({
intervalMs: 4500,
getText: () => currentText,
editFn: async (text) => {
await bot.editMessageText(
{
chat_id: chatId,
message_id: waitMessage.message_id,
text: escapeMarkdownV2Text(text),
parse_mode: "Markdown"
}
).catch(logError);
console.log("editMessageText", text);
waitMessage.reply_to_message = msg;
waitMessage.text = text;
await MessageStore.put(waitMessage);
},
onStop: async () => {
}
});
await editor.tick();
try {
for await (const chunk of stream) {
console.log("chunk", chunk);
if (chunk.type === "response.output_text.delta") {
const text = chunk.delta;
currentText += text;
if (currentText.length > 4096) {
currentText = currentText.slice(0, 4093) + "...";
shouldBreak = true;
}
console.log("messageText", currentText);
console.log("length", currentText.length);
if (shouldBreak) {
console.log("break", true);
break;
}
}
}
} finally {
await editor.tick();
await editor.stop();
if (!shouldBreak) {
console.log("ended", true);
}
const diff = Math.abs(Date.now() - startTime) / 1000.0;
console.log("time", diff);
waitMessage.reply_to_message = msg;
waitMessage.text = currentText;
await MessageStore.put(waitMessage);
await replyToMessage({message: waitMessage, text: `⏱️ ${diff}s`});
}
} catch (error) {
logError(error);
await replyToMessage({
message: waitMessage,
text: `Произошла ошибка!\n${error.toString()}`
}).catch(logError);
}
}
}