diff --git a/package.json b/package.json
index e906894..fa73e36 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "ai-pipelines",
-  "module": "src/index.ts",
+  "module": "src/main.ts",
   "devDependencies": {
     "@biomejs/biome": "^1.9.4",
     "@types/bun": "latest",
@@ -16,7 +16,7 @@
     "build": "npx tsc",
     "build:go": "npx tsgo",
     "prebuild": "npx rimraf dist",
-    "start": "node dist/index.js",
+    "start": "node dist/main.js",
     "________________ FORMAT AND LINT ________________": "",
     "check": "npx run-p ts:check lint",
     "lint": "biome check",
diff --git a/src/index.ts b/src/index.ts
deleted file mode 100644
index 53d06d9..0000000
--- a/src/index.ts
+++ /dev/null
@@ -1,347 +0,0 @@
-import {
-  AIMessage,
-  HumanMessage,
-  SystemMessage,
-  ToolMessage,
-} from '@langchain/core/messages';
-import { Runnable } from '@langchain/core/runnables';
-import { DynamicStructuredTool } from '@langchain/core/tools';
-import { ChatOpenAI } from '@langchain/openai';
-import dotenv from 'dotenv';
-import Handlebars from 'handlebars';
-import { z } from 'zod';
-
-import { Client } from '@modelcontextprotocol/sdk/client/index.js';
-import { SSEClientTransport } from '@modelcontextprotocol/sdk/client/sse.js';
-import { Tool as McpTool, TextContent } from '@modelcontextprotocol/sdk/types';
-
-dotenv.config();
-
-interface PipelineStep {
-  name: string;
-  prompt: string;
-}
-
-interface Pipeline {
-  description: string;
-  systemPrompt: string;
-  steps: PipelineStep[];
-}
-
-class McpToolsService {
-  private mcpClient: Client | null = null;
-  private transport: SSEClientTransport | null = null;
-  private readonly serverUrl: string;
-
-  constructor(serverUrl: string) {
-    this.serverUrl = serverUrl;
-  }
-
-  async connect(): Promise<void> {
-    if (this.mcpClient && this.transport) {
-      return;
-    }
-    try {
-      this.transport = new SSEClientTransport(new URL(this.serverUrl));
-      this.mcpClient = new Client({
-        name: 'my-langchain-mcp-client',
-        version: '1.0.0',
-      });
-      await this.mcpClient.connect(this.transport);
-      console.log(`[MCP Service] Подключено к MCP серверу: ${this.serverUrl}`);
-    } catch (error) {
-      console.error(
-        `[MCP Service] Ошибка подключения к MCP серверу ${this.serverUrl}:`,
-        error,
-      );
-      throw error;
-    }
-  }
-
-  async disconnect(): Promise<void> {
-    if (this.mcpClient) {
-      await this.mcpClient.close();
-      this.mcpClient = null;
-      this.transport = null;
-      console.log(`[MCP Service] Отключено от MCP сервера: ${this.serverUrl}`);
-    }
-  }
-
-  async getLangchainTools(): Promise<DynamicStructuredTool[]> {
-    if (!this.mcpClient) {
-      throw new Error('MCP клиент не подключен. Сначала вызовите .connect()');
-    }
-
-    const mcpTools: McpTool[] = (await this.mcpClient.listTools()).tools;
-    const langchainTools: DynamicStructuredTool[] = [];
-
-    for (const mcpTool of mcpTools) {
-      const properties: Record<string, z.ZodTypeAny> = {};
-      for (const key in mcpTool.inputSchema.properties) {
-        // biome-ignore lint/suspicious/noExplicitAny: <explanation>
-        const prop = mcpTool.inputSchema.properties[key] as any;
-        let schemaType: z.ZodTypeAny;
-        switch (prop.type) {
-          case 'string':
-            schemaType = z.string();
-            break;
-          case 'number':
-            schemaType = z.number();
-            break;
-          case 'boolean':
-            schemaType = z.boolean();
-            break;
-          case 'array':
-            schemaType = z.array(z.any());
-            break;
-          case 'object':
-            schemaType = z.object({});
-            break;
-          default:
-            schemaType = z.any();
-        }
-        if (!(mcpTool.inputSchema.required || []).includes(key)) {
-          schemaType = schemaType.optional();
-        }
-        properties[key] = schemaType.describe(prop.description || '');
-      }
-      const zodSchema = z.object(properties);
-
-      const langchainTool = new DynamicStructuredTool({
-        name: mcpTool.name,
-        description: mcpTool.description || '',
-        schema: zodSchema,
-        func: async (args: Record<string, unknown>) => {
-          console.log(
-            `[MCP Tool Call] Вызов инструмента MCP: ${mcpTool.name} с аргументами:`,
-            args,
-          );
-          const result = await this.mcpClient!.callTool({
-            name: mcpTool.name,
-            arguments: args,
-          });
-
-          if (result.isError) {
-            // biome-ignore lint/suspicious/noExplicitAny: <explanation>
-            const errorContent = (result.content as any[])
-              .map((c) => (c as TextContent).text || '')
-              .join('\n');
-            throw new Error(
-              `Ошибка выполнения инструмента ${mcpTool.name}: ${errorContent}`,
-            );
-          }
-
-          if (result.structuredContent) {
-            return result.structuredContent;
-          }
-          // biome-ignore lint/suspicious/noExplicitAny: <explanation>
-          return (result.content as any[])
-            .map((c) => {
-              if (c.type === 'text') return (c as TextContent).text;
-              if (c.type === 'image') return `[Изображение: ${c.mimeType}]`;
-              if (c.type === 'audio') return `[Аудио: ${c.mimeType}]`;
-              if (c.type === 'resource') return `[Ресурс: ${c.uri}]`;
-              return JSON.stringify(c);
-            })
-            .join('\n');
-        },
-      });
-      langchainTools.push(langchainTool);
-    }
-    return langchainTools;
-  }
-}
-
-class PipelineExecutor {
-  readonly mcpToolsService: McpToolsService;
-  private cachedTools: DynamicStructuredTool[] | null = null;
-
-  constructor(mcpServerUrl: string) {
-    this.mcpToolsService = new McpToolsService(mcpServerUrl);
-  }
-
-  private async _getOrLoadTools(): Promise<DynamicStructuredTool[]> {
-    if (!this.cachedTools) {
-      await this.mcpToolsService.connect();
-      this.cachedTools = await this.mcpToolsService.getLangchainTools();
-    }
-    return this.cachedTools;
-  }
-
-  private async initChain(openAIApiKey: string): Promise<Runnable> {
-    const tools = await this._getOrLoadTools();
-    const llm = new ChatOpenAI({
-      model: 'gpt-4o',
-      temperature: 0.2,
-      openAIApiKey: openAIApiKey,
-    });
-    return llm.bindTools(tools);
-  }
-
-  private buildMessages(
-    systemPrompts: string[],
-    variables: Record<string, string> = {},
-  ): (HumanMessage | SystemMessage)[] {
-    return [
-      ...systemPrompts.map(
-        (prompt) => new SystemMessage(Handlebars.compile(prompt)(variables)),
-      ),
-      new SystemMessage(`Текущая дата и время: ${new Date().toISOString()}`),
-    ];
-  }
-
-  private renderPrompt(
-    prompt: string,
-    variables: Record<string, string> = {},
-  ): string {
-    return Handlebars.compile(prompt)(variables);
-  }
-
-  async executeChain(options: {
-    pipeline: Pipeline;
-    variables?: Record<string, string>;
-    systemPrompts?: string[];
-    openAIApiKey: string;
-  }): Promise<string[]> {
-    const variables = options.variables ?? {};
-    const systemPrompts = options.systemPrompts ?? [];
-    const chain = await this.initChain(options.openAIApiKey);
-    // Инициализируем массив сообщений, который будет накапливаться
-    const messages: (HumanMessage | SystemMessage | AIMessage | ToolMessage)[] =
-      this.buildMessages(
-        [options.pipeline.systemPrompt, ...systemPrompts],
-        variables,
-      );
-    const results: string[] = [];
-
-    for (const { prompt } of options.pipeline.steps) {
-      const renderedPrompt = this.renderPrompt(prompt, variables);
-      // Добавляем текущий промпт пользователя в общий массив сообщений
-      messages.push(new HumanMessage(renderedPrompt));
-
-      const finalResponse = await this._resolveToolCalls(
-        chain,
-        messages, // Передаем накопительный массив сообщений
-      );
-      // Добавляем ответ ИИ в общий массив сообщений для сохранения контекста
-      messages.push(finalResponse);
-      results.push(finalResponse?.content.toString() ?? '<empty>');
-    }
-    return results;
-  }
-
-  private async _resolveToolCalls(
-    chain: Runnable,
-    messages: (HumanMessage | SystemMessage | AIMessage | ToolMessage)[],
-  ): Promise<AIMessage> {
-    let response: AIMessage = await chain.invoke(messages);
-
-    while (response.tool_calls && response.tool_calls.length > 0) {
-      messages.push(response);
-
-      for (const toolCall of response.tool_calls) {
-        try {
-          const tools = await this._getOrLoadTools();
-          const tool = tools.find((t) => t.name === toolCall.name);
-
-          if (!tool) {
-            console.error(
-              `Инструмент ${toolCall.name} не найден в списке LangChain инструментов.`,
-            );
-            messages.push(
-              new ToolMessage({
-                tool_call_id: toolCall.id!,
-                content: `Ошибка: Инструмент ${toolCall.name} не найден.`,
-              }),
-            );
-            continue;
-          }
-
-          const toolResult = await tool.func(toolCall.args);
-          messages.push(
-            new ToolMessage({
-              tool_call_id: toolCall.id!,
-              content: JSON.stringify(toolResult),
-            }),
-          );
-        } catch (error) {
-          console.error(
-            `Ошибка выполнения инструмента ${toolCall.name}:`,
-            error,
-          );
-          messages.push(
-            new ToolMessage({
-              tool_call_id: toolCall.id!,
-              content: `Ошибка: ${error.message}`,
-            }),
-          );
-        }
-      }
-      response = await chain.invoke(messages);
-    }
-    return response;
-  }
-}
-
-async function main() {
-  const openAIApiKey = process.env.OPENAI_API_KEY;
-  const mcpServerUrl =
-    process.env.MCP_SERVER_URL || 'https://santiment-mcp.dev.mind-dev.com/sse';
-
-  if (!openAIApiKey) {
-    console.error(
-      'Ошибка: Переменная окружения OPENAI_API_KEY не установлена.',
-    );
-    process.exit(1);
-  }
-
-  const pipelineExecutor = new PipelineExecutor(mcpServerUrl);
-
-  const testPipeline: Pipeline = {
-    description: 'Тестовый пайплайн',
-    systemPrompt:
-      '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();
-  }
-}
-
-main().catch(console.error);
diff --git a/src/main.ts b/src/main.ts
new file mode 100644
index 0000000..51540bd
--- /dev/null
+++ b/src/main.ts
@@ -0,0 +1,68 @@
+import dotenv from 'dotenv';
+import { Pipeline } from './models/pipeline';
+import { PipelineExecutor } from './pipelines/pipeline-executor';
+
+dotenv.config();
+
+async function main() {
+  const openAIApiKey = process.env.OPENAI_API_KEY;
+  const mcpServerUrl =
+    process.env.MCP_SERVER_URL || 'https://santiment-mcp.dev.mind-dev.com/sse';
+
+  if (!openAIApiKey) {
+    console.error(
+      'Ошибка: Переменная окружения OPENAI_API_KEY не установлена.',
+    );
+    process.exit(1);
+  }
+
+  const pipelineExecutor = new PipelineExecutor(mcpServerUrl);
+
+  const testPipeline: Pipeline = {
+    description: 'Тестовый пайплайн',
+    systemPrompt:
+      '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();
+  }
+}
+
+main().catch(console.error);
diff --git a/src/models/pipeline.ts b/src/models/pipeline.ts
new file mode 100644
index 0000000..096c7ec
--- /dev/null
+++ b/src/models/pipeline.ts
@@ -0,0 +1,10 @@
+export interface PipelineStep {
+  name: string;
+  prompt: string;
+}
+
+export interface Pipeline {
+  description: string;
+  systemPrompt: string;
+  steps: PipelineStep[];
+}
diff --git a/src/pipelines/pipeline-executor.ts b/src/pipelines/pipeline-executor.ts
new file mode 100644
index 0000000..6064199
--- /dev/null
+++ b/src/pipelines/pipeline-executor.ts
@@ -0,0 +1,138 @@
+import {
+  AIMessage,
+  HumanMessage,
+  SystemMessage,
+  ToolMessage,
+} from '@langchain/core/messages';
+import { Runnable } from '@langchain/core/runnables';
+import { DynamicStructuredTool } from '@langchain/core/tools';
+import { ChatOpenAI } from '@langchain/openai';
+import Handlebars from 'handlebars';
+
+import { Pipeline } from '../models/pipeline';
+import { McpToolsService } from '../services/mcp-tools.service';
+
+export class PipelineExecutor {
+  readonly mcpToolsService: McpToolsService;
+  private cachedTools: DynamicStructuredTool[] | null = null;
+
+  constructor(mcpServerUrl: string) {
+    this.mcpToolsService = new McpToolsService(mcpServerUrl);
+  }
+
+  private async _getOrLoadTools(): Promise<DynamicStructuredTool[]> {
+    if (!this.cachedTools) {
+      await this.mcpToolsService.connect();
+      this.cachedTools = await this.mcpToolsService.getLangchainTools();
+    }
+    return this.cachedTools;
+  }
+
+  private async initChain(openAIApiKey: string): Promise<Runnable> {
+    const tools = await this._getOrLoadTools();
+    const llm = new ChatOpenAI({
+      model: 'gpt-4o',
+      temperature: 0.2,
+      openAIApiKey: openAIApiKey,
+    });
+    return llm.bindTools(tools);
+  }
+
+  private buildMessages(
+    systemPrompts: string[],
+    variables: Record<string, string> = {},
+  ): (HumanMessage | SystemMessage)[] {
+    return [
+      ...systemPrompts.map(
+        (prompt) => new SystemMessage(Handlebars.compile(prompt)(variables)),
+      ),
+      new SystemMessage(`Текущая дата и время: ${new Date().toISOString()}`),
+    ];
+  }
+
+  private renderPrompt(
+    prompt: string,
+    variables: Record<string, string> = {},
+  ): string {
+    return Handlebars.compile(prompt)(variables);
+  }
+
+  async executeChain(options: {
+    pipeline: Pipeline;
+    variables?: Record<string, string>;
+    systemPrompts?: string[];
+    openAIApiKey: string;
+  }): Promise<string[]> {
+    const variables = options.variables ?? {};
+    const systemPrompts = options.systemPrompts ?? [];
+    const chain = await this.initChain(options.openAIApiKey);
+    const messages: (HumanMessage | SystemMessage | AIMessage | ToolMessage)[] =
+      this.buildMessages(
+        [options.pipeline.systemPrompt, ...systemPrompts],
+        variables,
+      );
+    const results: string[] = [];
+
+    for (const { prompt } of options.pipeline.steps) {
+      const renderedPrompt = this.renderPrompt(prompt, variables);
+      messages.push(new HumanMessage(renderedPrompt));
+
+      const finalResponse = await this._resolveToolCalls(chain, messages);
+      messages.push(finalResponse);
+      results.push(finalResponse?.content.toString() ?? '<empty>');
+    }
+    return results;
+  }
+
+  private async _resolveToolCalls(
+    chain: Runnable,
+    messages: (HumanMessage | SystemMessage | AIMessage | ToolMessage)[],
+  ): Promise<AIMessage> {
+    let response: AIMessage = await chain.invoke(messages);
+
+    while (response.tool_calls && response.tool_calls.length > 0) {
+      messages.push(response);
+
+      for (const toolCall of response.tool_calls) {
+        try {
+          const tools = await this._getOrLoadTools();
+          const tool = tools.find((t) => t.name === toolCall.name);
+
+          if (!tool) {
+            console.error(
+              `Инструмент ${toolCall.name} не найден в списке LangChain инструментов.`,
+            );
+            messages.push(
+              new ToolMessage({
+                tool_call_id: toolCall.id!,
+                content: `Ошибка: Инструмент ${toolCall.name} не найден.`,
+              }),
+            );
+            continue;
+          }
+
+          const toolResult = await tool.func(toolCall.args);
+          messages.push(
+            new ToolMessage({
+              tool_call_id: toolCall.id!,
+              content: JSON.stringify(toolResult),
+            }),
+          );
+        } catch (error) {
+          console.error(
+            `Ошибка выполнения инструмента ${toolCall.name}:`,
+            error,
+          );
+          messages.push(
+            new ToolMessage({
+              tool_call_id: toolCall.id!,
+              content: `Ошибка: ${error.message}`,
+            }),
+          );
+        }
+      }
+      response = await chain.invoke(messages);
+    }
+    return response;
+  }
+}
diff --git a/src/services/mcp-tools.service.ts b/src/services/mcp-tools.service.ts
new file mode 100644
index 0000000..f8cb8ea
--- /dev/null
+++ b/src/services/mcp-tools.service.ts
@@ -0,0 +1,129 @@
+import { DynamicStructuredTool } from '@langchain/core/tools';
+import { Client } from '@modelcontextprotocol/sdk/client/index.js';
+import { SSEClientTransport } from '@modelcontextprotocol/sdk/client/sse.js';
+import { Tool as McpTool, TextContent } from '@modelcontextprotocol/sdk/types';
+import { z } from 'zod';
+
+export class McpToolsService {
+  private mcpClient: Client | null = null;
+  private transport: SSEClientTransport | null = null;
+  private readonly serverUrl: string;
+
+  constructor(serverUrl: string) {
+    this.serverUrl = serverUrl;
+  }
+
+  async connect(): Promise<void> {
+    if (this.mcpClient && this.transport) {
+      return;
+    }
+    try {
+      this.transport = new SSEClientTransport(new URL(this.serverUrl));
+      this.mcpClient = new Client({
+        name: 'my-langchain-mcp-client',
+        version: '1.0.0',
+      });
+      await this.mcpClient.connect(this.transport);
+      console.log(`[MCP Service] Подключено к MCP серверу: ${this.serverUrl}`);
+    } catch (error) {
+      console.error(
+        `[MCP Service] Ошибка подключения к MCP серверу ${this.serverUrl}:`,
+        error,
+      );
+      throw error;
+    }
+  }
+
+  async disconnect(): Promise<void> {
+    if (this.mcpClient) {
+      await this.mcpClient.close();
+      this.mcpClient = null;
+      this.transport = null;
+      console.log(`[MCP Service] Отключено от MCP сервера: ${this.serverUrl}`);
+    }
+  }
+
+  async getLangchainTools(): Promise<DynamicStructuredTool[]> {
+    if (!this.mcpClient) {
+      throw new Error('MCP клиент не подключен. Сначала вызовите .connect()');
+    }
+
+    const mcpTools: McpTool[] = (await this.mcpClient.listTools()).tools;
+    const langchainTools: DynamicStructuredTool[] = [];
+
+    for (const mcpTool of mcpTools) {
+      const properties: Record<string, z.ZodTypeAny> = {};
+      for (const key in mcpTool.inputSchema.properties) {
+        // biome-ignore lint/suspicious/noExplicitAny: <explanation>
+        const prop = mcpTool.inputSchema.properties[key] as any;
+        let schemaType: z.ZodTypeAny;
+        switch (prop.type) {
+          case 'string':
+            schemaType = z.string();
+            break;
+          case 'number':
+            schemaType = z.number();
+            break;
+          case 'boolean':
+            schemaType = z.boolean();
+            break;
+          case 'array':
+            schemaType = z.array(z.any());
+            break;
+          case 'object':
+            schemaType = z.object({});
+            break;
+          default:
+            schemaType = z.any();
+        }
+        if (!(mcpTool.inputSchema.required || []).includes(key)) {
+          schemaType = schemaType.optional();
+        }
+        properties[key] = schemaType.describe(prop.description || '');
+      }
+      const zodSchema = z.object(properties);
+
+      const langchainTool = new DynamicStructuredTool({
+        name: mcpTool.name,
+        description: mcpTool.description || '',
+        schema: zodSchema,
+        func: async (args: Record<string, unknown>) => {
+          console.log(
+            `[MCP Tool Call] Вызов инструмента MCP: ${mcpTool.name} с аргументами:`,
+            args,
+          );
+          const result = await this.mcpClient!.callTool({
+            name: mcpTool.name,
+            arguments: args,
+          });
+
+          if (result.isError) {
+            // biome-ignore lint/suspicious/noExplicitAny: <explanation>
+            const errorContent = (result.content as any[])
+              .map((c) => (c as TextContent).text || '')
+              .join('\n');
+            throw new Error(
+              `Ошибка выполнения инструмента ${mcpTool.name}: ${errorContent}`,
+            );
+          }
+
+          if (result.structuredContent) {
+            return result.structuredContent;
+          }
+          // biome-ignore lint/suspicious/noExplicitAny: <explanation>
+          return (result.content as any[])
+            .map((c) => {
+              if (c.type === 'text') return (c as TextContent).text;
+              if (c.type === 'image') return `[Изображение: ${c.mimeType}]`;
+              if (c.type === 'audio') return `[Аудио: ${c.mimeType}]`;
+              if (c.type === 'resource') return `[Ресурс: ${c.uri}]`;
+              return JSON.stringify(c);
+            })
+            .join('\n');
+        },
+      });
+      langchainTools.push(langchainTool);
+    }
+    return langchainTools;
+  }
+}
diff --git a/tsconfig.json b/tsconfig.json
index a138ff4..f905176 100644
--- a/tsconfig.json
+++ b/tsconfig.json
@@ -20,9 +20,6 @@
     "target": "ESNext",
     "sourceMap": true,
     "baseUrl": "./",
-    "paths": {
-      "@/*": ["src/*"]
-    },
     "outDir": "dist",
     "noImplicitThis": true,
     "incremental": true,