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@@ -31,7 +31,8 @@ RUN pip install --no-cache-dir \
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playwright \
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httpx \
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langchain-openai \
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openai
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openai \
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python-dotenv
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# Устанавливаем Playwright браузеры
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RUN playwright install chromium --with-deps
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@@ -0,0 +1,258 @@
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"""
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Browser Use Custom Component для Langflow
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Интеграция с browserless + OpenRouter
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Основано на документации из Context7
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"""
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import os
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from typing import Optional, Dict, Any, List
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from langflow.custom import Component
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from langflow.inputs import SecretStrInput, StrInput, DictInput
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from langflow.template import Output
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class BrowserUseComponent(Component):
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"""
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Browser Use компонент с интеграцией browserless + OpenRouter
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Подключение к browserless через CDP URL.
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Использует OpenRouter API для LLM.
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"""
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display_name = "Browser Use"
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description = "browser-use с browserless + OpenRouter"
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icon = "Globe"
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inputs = [
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SecretStrInput(
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name="browserless_url",
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display_name="Browserless URL",
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value=os.getenv("BROWSERLESS_API_URL", "http://browserless.home"),
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required=True,
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helper_text="CDP URL browserless сервера",
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),
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StrInput(
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name="task",
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display_name="Задача",
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required=True,
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placeholder="Например: найди информацию о...",
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),
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StrInput(
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name="model",
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display_name="OpenRouter Модель",
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value="arcee-ai/trinity-large-preview:free",
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advanced=True,
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helper_text="Модель: anthropic/claude-3-opus, openai/gpt-4o, google/gemini-pro и др.",
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),
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SecretStrInput(
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name="openrouter_api_key",
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display_name="OpenRouter API Key",
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value=os.getenv("OPENROUTER_API_KEY", ""),
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required=True,
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),
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]
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outputs = [
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Output(name="result", display_name="Результат", method="run_browser"),
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]
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def run_browser(self) -> str:
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"""
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Запускает browser-use агент с browserless + OpenRouter
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"""
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try:
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from browser_use import Agent, Browser
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from langchain_openai import ChatOpenAI
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# URL browserless
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browserless_url = self.browserless_url
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# Формируем WebSocket URL для browserless
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cdp_url = browserless_url.replace("http://", "ws://").replace("https://", "wss://")
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cdp_url = f"{cdp_url}/playwright"
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# Конфигурация браузера с CDP подключением
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browser = Browser(
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cdp_url=cdp_url,
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headless=True,
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)
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# Инициализация LLM через OpenRouter
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api_key = self.openrouter_api_key or os.getenv("OPENROUTER_API_KEY")
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llm = ChatOpenAI(
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model=self.model,
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api_key=api_key,
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base_url="https://openrouter.ai/api/v1",
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default_headers={
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"HTTP-Referer": "http://langflow.home",
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"X-Title": "Langflow",
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},
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)
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# Создание агента
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agent = Agent(
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task=self.task,
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llm=llm,
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browser=browser,
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)
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# Запуск агента
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result = agent.run()
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return str(result)
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except ImportError as e:
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return f"Ошибка импорта: {e}. Убедитесь, что browser-use установлен."
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except Exception as e:
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return f"Ошибка выполнения: {e}"
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class BrowserUsePlaywrightComponent(Component):
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"""
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Альтернативный компонент - Playwright напрямую с browserless
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"""
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display_name = "Browser Use (Playwright)"
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description = "Playwright напрямую с browserless"
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icon = "Globe"
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inputs = [
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SecretStrInput(
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name="browserless_url",
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display_name="Browserless URL",
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value=os.getenv("BROWSERLESS_API_URL", "http://browserless.home"),
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required=True,
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),
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StrInput(
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name="url",
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display_name="URL",
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required=True,
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placeholder="https://example.com",
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),
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StrInput(
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name="action",
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display_name="Действие",
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value="navigate",
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advanced=True,
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options=["navigate", "click", "fill", "screenshot", "get_content"],
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),
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StrInput(
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name="selector",
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display_name="CSS Selector",
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advanced=True,
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),
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StrInput(
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name="fill_text",
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display_name="Текст для заполнения",
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advanced=True,
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),
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]
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outputs = [
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Output(name="result", display_name="Результат", method="run_playwright"),
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]
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async def run_playwright(self) -> Dict[str, Any]:
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"""Запускает Playwright с browserless"""
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from playwright.async_api import async_playwright
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browserless_url = self.browserless_url
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ws_endpoint = browserless_url.replace("http://", "ws://").replace("https://", "wss://")
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ws_endpoint = f"{ws_endpoint}/playwright?launch=%s" % str({"headless": True})
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async with async_playwright() as p:
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try:
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browser = await p.chromium.connect_over_cdp(ws_endpoint)
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page = await browser.new_page()
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try:
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if self.action == "navigate":
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await page.goto(self.url)
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content = await page.content()
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return {"status": "success", "content": content[:5000]}
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elif self.action == "click":
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await page.click(self.selector or "body")
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return {"status": "success", "action": "clicked"}
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elif self.action == "fill":
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await page.fill(self.selector or "body", self.fill_text or "")
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return {"status": "success", "action": "filled"}
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elif self.action == "screenshot":
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await page.goto(self.url)
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screenshot_bytes = await page.screenshot()
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import base64
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return {"status": "success", "screenshot": base64.b64encode(screenshot_bytes).decode()}
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elif self.action == "get_content":
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await page.goto(self.url)
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content = await page.content()
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return {"status": "success", "content": content}
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finally:
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await page.close()
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await browser.close()
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except Exception as e:
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return {"status": "error", "message": str(e)}
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class SimpleBrowserAgentComponent(Component):
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"""
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Простой browser-use агент с OpenRouter (локальный браузер)
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"""
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display_name = "Simple Browser Agent + OpenRouter"
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description = "browser-use агент с OpenRouter (локальный браузер)"
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icon = "Globe"
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inputs = [
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StrInput(
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name="task",
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display_name="Задача",
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required=True,
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),
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StrInput(
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name="model",
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display_name="Модель",
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value="arcee-ai/trinity-large-preview:free",
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advanced=True,
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),
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SecretStrInput(
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name="openrouter_api_key",
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display_name="OpenRouter API Key",
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value=os.getenv("OPENROUTER_API_KEY", ""),
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required=True,
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),
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]
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outputs = [
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Output(name="result", display_name="Результат", method="run_agent"),
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]
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def run_agent(self) -> str:
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try:
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from browser_use import Agent, Browser
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from langchain_openai import ChatOpenAI
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# Локальный браузер
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browser = Browser(headless=True)
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api_key = self.openrouter_api_key or os.getenv("OPENROUTER_API_KEY")
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llm = ChatOpenAI(
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model=self.model,
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api_key=api_key,
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base_url="https://openrouter.ai/api/v1",
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default_headers={
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"HTTP-Referer": "http://langflow.home",
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"X-Title": "Langflow",
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},
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)
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agent = Agent(task=self.task, llm=llm, browser=browser)
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result = agent.run()
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return str(result)
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except Exception as e:
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return f"Ошибка: {e}"
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+10
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@@ -5,16 +5,22 @@ services:
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build:
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context: .
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dockerfile: Dockerfile
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image: langflow:${VERSION:-latest}
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container_name: langflow
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restart: unless-stopped
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expose:
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- "7860"
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environment:
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# Langflow настройки
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LANGFLOW_DATABASE_URL: sqlite:///./langflow.db
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LANGFLOW_SECRET_KEY: ${LANGFLOW_SECRET_KEY:-your-secret-key-change-in-production}
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LANGFLOW_AUTO_LOGY: "false"
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LANGFLOW_AUTO_LOGIN: "false"
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LANGFLOW_LOG_LEVEL: INFO
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LANGFLOW_URL: ${LANGFLOW_URL:-http://langflow.home}
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# OpenAI API Key для browser-use агентов
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OPENAI_API_KEY: ${OPENAI_API_KEY:-}
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# OpenRouter API для LLM
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OPENROUTER_API_KEY: ${OPENROUTER_API_KEY:-}
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OPENROUTER_BASE_URL: https://openrouter.ai/api/v1
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# Настройки для browser-use
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BROWSERLESS_API_URL: http://browserless.home
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@@ -24,15 +30,12 @@ services:
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# Прокси для доступа к browserless
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HTTP_PROXY: ${HTTP_PROXY:-}
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HTTPS_PROXY: ${HTTPS_PROXY:-}
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NO_PROXY: ${NO_PROXY:-localhost,127.0.0.1}
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NO_PROXY: ${NO_PROXY:-localhost,127.0.0.1,browserless.home}
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volumes:
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#persistent volume for SQLite database and files
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- langflow_data:/app/langflow
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- langflow_cache:/root/.cache
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networks:
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- langflow_network
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:7860/health"]
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interval: 30s
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