feat: Add Telegram bot integration and .env configuration

.env.example

@@ -1 +1,8 @@
+# OpenAI API Key
 OPENAI_API_KEY=sk-*********************************************
+
+# Telegram Bot Token (get it from @BotFather)
+TELEGRAM_BOT_TOKEN=your_telegram_bot_token_here
+
+# MCP Server URL (optional)
+MCP_SERVER_URL=https://santiment-mcp.dev.mind-dev.com/sse

README.md

@@ -1,15 +1,75 @@
-# ai-pipelines
+# AI Pipelines with Telegram Bot
 
-To install dependencies:
+This project provides a framework for creating and executing AI-powered pipelines, with a Telegram bot interface for easy interaction.
+
+## Features
+
+- Execute AI-powered pipelines using OpenAI's models
+- Integration with Model Context Protocol (MCP) tools
+- Telegram bot interface for easy interaction
+- Support for dynamic prompts and variables
+
+## Prerequisites
+
+- Node.js and Bun installed
+- OpenAI API key
+- Telegram Bot Token (get it from [@BotFather](https://t.me/botfather))
+
+## Setup
+
+1. Clone the repository
+2. Install dependencies:
 
 ```bash
 bun install
 ```
 
-To run:
+3. Copy `.env.example` to `.env` and fill in your credentials:
 
 ```bash
-bun run index.ts
+cp .env.example .env
 ```
 
-This project was created using `bun init` in bun v1.2.14. [Bun](https://bun.sh) is a fast all-in-one JavaScript runtime.
+4. Edit the `.env` file and add your:
+   - `OPENAI_API_KEY` - Your OpenAI API key
+   - `TELEGRAM_BOT_TOKEN` - Your Telegram bot token from @BotFather
+   - `MCP_SERVER_URL` - (Optional) MCP server URL (defaults to Santiment's MCP server)
+
+## Running the Bot
+
+Start the bot with:
+
+```bash
+bun start
+```
+
+Or in development mode with auto-reload:
+
+```bash
+bun --watch src/main.ts
+```
+
+## Using the Bot
+
+1. Find your bot on Telegram using the username you set with @BotFather
+2. Start a chat with the bot
+3. Send any message to the bot, and it will process it through the AI pipeline
+4. The bot will respond with the AI's analysis or action
+
+## Project Structure
+
+- `src/bot/` - Telegram bot implementation
+- `src/models/` - Data models and interfaces
+- `src/pipelines/` - Pipeline execution logic
+- `src/services/` - External service integrations
+- `src/main.ts` - Application entry point
+
+## Development
+
+- Run linter: `bun run lint`
+- Run type checking: `bun run ts:check`
+- Run both: `bun run check`
+
+## License
+
+MIT

bun.lock

@@ -11,6 +11,7 @@
         "dotenv": "^16.5.0",
         "handlebars": "^4.7.8",
         "rimraf": "^6.0.1",
+        "telegraf": "^4.16.3",
         "yaml": "^2.8.0",
       },
       "devDependencies": {
@@ -55,6 +56,8 @@
 
     "@modelcontextprotocol/sdk": ["@modelcontextprotocol/sdk@1.12.0", "", { "dependencies": { "ajv": "^6.12.6", "content-type": "^1.0.5", "cors": "^2.8.5", "cross-spawn": "^7.0.5", "eventsource": "^3.0.2", "express": "^5.0.1", "express-rate-limit": "^7.5.0", "pkce-challenge": "^5.0.0", "raw-body": "^3.0.0", "zod": "^3.23.8", "zod-to-json-schema": "^3.24.1" } }, "sha512-m//7RlINx1F3sz3KqwY1WWzVgTcYX52HYk4bJ1hkBXV3zccAEth+jRvG8DBRrdaQuRsPAJOx2MH3zaHNCKL7Zg=="],
 
+    "@telegraf/types": ["@telegraf/types@7.1.0", "", {}, "sha512-kGevOIbpMcIlCDeorKGpwZmdH7kHbqlk/Yj6dEpJMKEQw5lk0KVQY0OLXaCswy8GqlIVLd5625OB+rAntP9xVw=="],
+
     "@types/bun": ["@types/bun@1.2.14", "", { "dependencies": { "bun-types": "1.2.14" } }, "sha512-VsFZKs8oKHzI7zwvECiAJ5oSorWndIWEVhfbYqZd4HI/45kzW7PN2Rr5biAzvGvRuNmYLSANY+H59ubHq8xw7Q=="],
 
     "@types/node": ["@types/node@22.15.21", "", { "dependencies": { "undici-types": "~6.21.0" } }, "sha512-EV/37Td6c+MgKAbkcLG6vqZ2zEYHD7bvSrzqqs2RIhbA6w3x+Dqz8MZM3sP6kGTeLrdoOgKZe+Xja7tUB2DNkQ=="],
@@ -111,6 +114,12 @@
 
     "brace-expansion": ["brace-expansion@1.1.11", "", { "dependencies": { "balanced-match": "^1.0.0", "concat-map": "0.0.1" } }, "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA=="],
 
+    "buffer-alloc": ["buffer-alloc@1.2.0", "", { "dependencies": { "buffer-alloc-unsafe": "^1.1.0", "buffer-fill": "^1.0.0" } }, "sha512-CFsHQgjtW1UChdXgbyJGtnm+O/uLQeZdtbDo8mfUgYXCHSM1wgrVxXm6bSyrUuErEb+4sYVGCzASBRot7zyrow=="],
+
+    "buffer-alloc-unsafe": ["buffer-alloc-unsafe@1.1.0", "", {}, "sha512-TEM2iMIEQdJ2yjPJoSIsldnleVaAk1oW3DBVUykyOLsEsFmEc9kn+SFFPz+gl54KQNxlDnAwCXosOS9Okx2xAg=="],
+
+    "buffer-fill": ["buffer-fill@1.0.0", "", {}, "sha512-T7zexNBwiiaCOGDg9xNX9PBmjrubblRkENuptryuI64URkXDFum9il/JGL8Lm8wYfAXpredVXXZz7eMHilimiQ=="],
+
     "bun-types": ["bun-types@1.2.14", "", { "dependencies": { "@types/node": "*" } }, "sha512-Kuh4Ub28ucMRWeiUUWMHsT9Wcbr4H3kLIO72RZZElSDxSu7vpetRvxIUDUaW6QtaIeixIpm7OXtNnZPf82EzwA=="],
 
     "bytes": ["bytes@3.1.2", "", {}, "sha512-/Nf7TyzTx6S3yRJObOAV7956r8cr2+Oj8AC5dt8wSP3BQAoeX58NoHyCU8P8zGkNXStjTSi6fzO6F0pBdcYbEg=="],
@@ -387,6 +396,8 @@
 
     "minipass": ["minipass@7.1.2", "", {}, "sha512-qOOzS1cBTWYF4BH8fVePDBOO9iptMnGUEZwNc/cMWnTV2nVLZ7VoNWEPHkYczZA0pdoA7dl6e7FL659nX9S2aw=="],
 
+    "mri": ["mri@1.2.0", "", {}, "sha512-tzzskb3bG8LvYGFF/mDTpq3jpI6Q9wc3LEmBaghu+DdCssd1FakN7Bc0hVNmEyGq1bq3RgfkCb3cmQLpNPOroA=="],
+
     "ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
 
     "mustache": ["mustache@4.2.0", "", { "bin": { "mustache": "bin/mustache" } }, "sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ=="],
@@ -429,7 +440,7 @@
 
     "p-retry": ["p-retry@4.6.2", "", { "dependencies": { "@types/retry": "0.12.0", "retry": "^0.13.1" } }, "sha512-312Id396EbJdvRONlngUx0NydfrIQ5lsYu0znKVUzVvArzEIt08V1qhtyESbGVd1FGX7UKtiFp5uwKZdM8wIuQ=="],
 
-    "p-timeout": ["p-timeout@3.2.0", "", { "dependencies": { "p-finally": "^1.0.0" } }, "sha512-rhIwUycgwwKcP9yTOOFK/AKsAopjjCakVqLHePO3CC6Mir1Z99xT+R63jZxAT5lFZLa2inS5h+ZS2GvR99/FBg=="],
+    "p-timeout": ["p-timeout@4.1.0", "", {}, "sha512-+/wmHtzJuWii1sXn3HCuH/FTwGhrp4tmJTxSKJbfS+vkipci6osxXM5mY0jUiRzWKMTgUT8l7HFbeSwZAynqHw=="],
 
     "package-json-from-dist": ["package-json-from-dist@1.0.1", "", {}, "sha512-UEZIS3/by4OC8vL3P2dTXRETpebLI2NiI5vIrjaD/5UtrkFX/tNbwjTSRAGC/+7CAo2pIcBaRgWmcBBHcsaCIw=="],
 
@@ -483,12 +494,16 @@
 
     "safe-buffer": ["safe-buffer@5.2.1", "", {}, "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ=="],
 
+    "safe-compare": ["safe-compare@1.1.4", "", { "dependencies": { "buffer-alloc": "^1.2.0" } }, "sha512-b9wZ986HHCo/HbKrRpBJb2kqXMK9CEWIE1egeEvZsYn69ay3kdfl9nG3RyOcR+jInTDf7a86WQ1d4VJX7goSSQ=="],
+
     "safe-push-apply": ["safe-push-apply@1.0.0", "", { "dependencies": { "es-errors": "^1.3.0", "isarray": "^2.0.5" } }, "sha512-iKE9w/Z7xCzUMIZqdBsp6pEQvwuEebH4vdpjcDWnyzaI6yl6O9FHvVpmGelvEHNsoY6wGblkxR6Zty/h00WiSA=="],
 
     "safe-regex-test": ["safe-regex-test@1.1.0", "", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "is-regex": "^1.2.1" } }, "sha512-x/+Cz4YrimQxQccJf5mKEbIa1NzeCRNI5Ecl/ekmlYaampdNLPalVyIcCZNNH3MvmqBugV5TMYZXv0ljslUlaw=="],
 
     "safer-buffer": ["safer-buffer@2.1.2", "", {}, "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="],
 
+    "sandwich-stream": ["sandwich-stream@2.0.2", "", {}, "sha512-jLYV0DORrzY3xaz/S9ydJL6Iz7essZeAfnAavsJ+zsJGZ1MOnsS52yRjU3uF3pJa/lla7+wisp//fxOwOH8SKQ=="],
+
     "semver": ["semver@5.7.2", "", { "bin": { "semver": "bin/semver" } }, "sha512-cBznnQ9KjJqU67B52RMC65CMarK2600WFnbkcaiwWq3xy/5haFJlshgnpjovMVJ+Hff49d8GEn0b87C5pDQ10g=="],
 
     "send": ["send@1.2.0", "", { "dependencies": { "debug": "^4.3.5", "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "etag": "^1.8.1", "fresh": "^2.0.0", "http-errors": "^2.0.0", "mime-types": "^3.0.1", "ms": "^2.1.3", "on-finished": "^2.4.1", "range-parser": "^1.2.1", "statuses": "^2.0.1" } }, "sha512-uaW0WwXKpL9blXE2o0bRhoL2EGXIrZxQ2ZQ4mgcfoBxdFmQold+qWsD2jLrfZ0trjKL6vOw0j//eAwcALFjKSw=="],
@@ -555,6 +570,8 @@
 
     "supports-preserve-symlinks-flag": ["supports-preserve-symlinks-flag@1.0.0", "", {}, "sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w=="],
 
+    "telegraf": ["telegraf@4.16.3", "", { "dependencies": { "@telegraf/types": "^7.1.0", "abort-controller": "^3.0.0", "debug": "^4.3.4", "mri": "^1.2.0", "node-fetch": "^2.7.0", "p-timeout": "^4.1.0", "safe-compare": "^1.1.4", "sandwich-stream": "^2.0.2" }, "bin": { "telegraf": "lib/cli.mjs" } }, "sha512-yjEu2NwkHlXu0OARWoNhJlIjX09dRktiMQFsM678BAH/PEPVwctzL67+tvXqLCRQQvm3SDtki2saGO9hLlz68w=="],
+
     "toidentifier": ["toidentifier@1.0.1", "", {}, "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA=="],
 
     "tr46": ["tr46@0.0.3", "", {}, "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="],
@@ -633,6 +650,8 @@
 
     "openai/@types/node": ["@types/node@18.19.103", "", { "dependencies": { "undici-types": "~5.26.4" } }, "sha512-hHTHp+sEz6SxFsp+SA+Tqrua3AbmlAw+Y//aEwdHrdZkYVRWdvWD3y5uPZ0flYOkgskaFWqZ/YGFm3FaFQ0pRw=="],
 
+    "p-queue/p-timeout": ["p-timeout@3.2.0", "", { "dependencies": { "p-finally": "^1.0.0" } }, "sha512-rhIwUycgwwKcP9yTOOFK/AKsAopjjCakVqLHePO3CC6Mir1Z99xT+R63jZxAT5lFZLa2inS5h+ZS2GvR99/FBg=="],
+
     "string-width-cjs/emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],
 
     "string-width-cjs/strip-ansi": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],

package.json

@@ -38,6 +38,7 @@
     "dotenv": "^16.5.0",
     "handlebars": "^4.7.8",
     "rimraf": "^6.0.1",
+    "telegraf": "^4.16.3",
     "yaml": "^2.8.0"
   }
 }

src/bot/telegram-bot.ts

@@ -0,0 +1,103 @@
+import { Telegraf } from 'telegraf';
+import { Pipeline } from '../models/pipeline';
+import { PipelineExecutor } from '../pipelines/pipeline-executor';
+
+export class TelegramBot {
+  private bot: Telegraf;
+  private pipelineExecutor: PipelineExecutor;
+  private activePipelines: Map<number, Pipeline> = new Map();
+
+  constructor(token: string, mcpServerUrl: string) {
+    this.bot = new Telegraf(token);
+    this.pipelineExecutor = new PipelineExecutor(mcpServerUrl);
+    this.setupHandlers();
+  }
+
+  private setupHandlers(): void {
+    // Start command
+    this.bot.start((ctx) => {
+      ctx.reply(
+        'Привет! Я бот для работы с AI пайплайнами. Просто отправь мне сообщение, и я обработаю его через пайплайн.',
+      );
+    });
+
+    // Handle text messages
+    this.bot.on('text', async (ctx) => {
+      const chatId = ctx.chat.id;
+      const userMessage = ctx.message.text;
+
+      try {
+        // Create a simple pipeline with the user's message as the first step
+        const userPipeline: Pipeline = {
+          description: 'User message processing pipeline',
+          systemPrompt:
+            'Ты полезный ассистент, который всегда отвечает на русском языке. Анализируй сообщения пользователя и давай развернутые ответы.',
+          steps: [
+            {
+              name: 'Start',
+              prompt: 'Всегда начинай своё сообщение со слов: Мой господин,',
+            },
+            {
+              name: 'Обработка сообщения',
+              prompt: userMessage,
+            },
+          ],
+        };
+
+        // Store the pipeline for this chat
+        this.activePipelines.set(chatId, userPipeline);
+
+        // Show typing action
+        await ctx.sendChatAction('typing');
+
+        // Execute the pipeline
+        const results = await this.pipelineExecutor.executeChain({
+          pipeline: userPipeline,
+          variables: {},
+          systemPrompts: [],
+          openAIApiKey: process.env.OPENAI_API_KEY || '',
+        });
+
+        // Send the result back to the user
+        const lastResult = results[results.length - 1];
+        if (lastResult) {
+          await ctx.reply(lastResult);
+        } else {
+          await ctx.reply(
+            'Не удалось обработать запрос. Пожалуйста, попробуйте еще раз.',
+          );
+        }
+      } catch (error) {
+        console.error('Error processing message:', error);
+        await ctx.reply('Произошла ошибка при обработке вашего запроса.');
+      }
+    });
+
+    // Error handling
+    this.bot.catch((error: unknown) => {
+      const errorMessage =
+        error instanceof Error ? error.message : 'Unknown error';
+      console.error('Telegram bot error:', errorMessage);
+    });
+  }
+
+  public launch(): void {
+    this.bot.launch();
+    console.log('Telegram bot started');
+
+    // Enable graceful stop
+    process.once('SIGINT', () => {
+      this.bot.stop('SIGINT');
+      this.cleanup();
+    });
+    process.once('SIGTERM', () => {
+      this.bot.stop('SIGTERM');
+      this.cleanup();
+    });
+  }
+
+  private async cleanup(): Promise<void> {
+    // Cleanup resources
+    await this.pipelineExecutor.mcpToolsService.disconnect();
+  }
+}

src/main.ts

@@ -1,13 +1,19 @@
 import dotenv from 'dotenv';
-import { Pipeline } from './models/pipeline';
+import { TelegramBot } from './bot/telegram-bot';
-import { PipelineExecutor } from './pipelines/pipeline-executor';
 
 dotenv.config();
 
 async function main() {
+  const telegramToken = process.env.TELEGRAM_BOT_TOKEN;
   const openAIApiKey = process.env.OPENAI_API_KEY;
-  const mcpServerUrl =
+  const mcpServerUrl = process.env.MCP_SERVER_URL;
-    process.env.MCP_SERVER_URL || 'https://santiment-mcp.dev.mind-dev.com/sse';
+
+  if (!telegramToken) {
+    console.error(
+      'Ошибка: Переменная окружения TELEGRAM_BOT_TOKEN не установлена.',
+    );
+    process.exit(1);
+  }
 
   if (!openAIApiKey) {
     console.error(
@@ -16,53 +22,21 @@ async function main() {
     process.exit(1);
   }
 
-  const pipelineExecutor = new PipelineExecutor(mcpServerUrl);
+  if (!mcpServerUrl) {
-
+    console.error(
-  const testPipeline: Pipeline = {
+      'Ошибка: Переменная окружения MCP_SERVER_URL не установлена.',
-    description: 'Тестовый пайплайн',
+    );
-    systemPrompt:
+    process.exit(1);
-      'Ты полезный ассистент, который всегда отвечает на русском языке.',
-    steps: [
-      {
-        name: 'Приветствие',
-        prompt: 'Скажи привет пользователю, его имя - {{username}}.',
-      },
-      {
-        name: 'Использование инструмента',
-        prompt:
-          'Напиши какие инструменты тебе доступны? (Очень кратко напиши суть и входящие параметры).',
-      },
-      {
-        name: 'Использование инструмента',
-        prompt: 'Вызови **top_gainers** с pageSize=2 и покажи что получилось.',
-      },
-      {
-        name: 'Итог',
-        prompt:
-          'Отлично, теперь давай подытожим всё что мы сделали, соберём информацию вместе и оформим её как telegram пост.',
-      },
-    ],
-  };
-
-  const variables = {
-    username: 'Вася',
-  };
-
-  const systemPrompts = ['Отвечай кратко и по существу.'];
-
-  try {
-    const results = await pipelineExecutor.executeChain({
-      pipeline: testPipeline,
-      variables: variables,
-      systemPrompts: systemPrompts,
-      openAIApiKey: openAIApiKey,
-    });
-    console.log('Результаты выполнения пайплайна:', results);
-  } catch (error) {
-    console.error('Ошибка при выполнении пайплайна:', error);
-  } finally {
-    await pipelineExecutor.mcpToolsService.disconnect();
   }
+
+  // Initialize and start the Telegram bot
+  const bot = new TelegramBot(telegramToken, mcpServerUrl);
+  bot.launch();
+
+  console.log('Бот запущен и готов к работе!');
 }
 
-main().catch(console.error);
+main().catch((error) => {
+  console.error('Произошла ошибка:', error);
+  process.exit(1);
+});