# coding: utf-8 # Copyright (c) 2025 inclusionAI. import os from aworld.config.conf import ModelConfig from aworld.core.task import Task from aworld.runner import Runners from examples.browser_use.agent import BrowserAgent from examples.browser_use.config import BrowserAgentConfig from examples.common.tools.common import Agents, Tools from examples.common.tools.conf import BrowserToolConfig # os.environ["LLM_MODEL_NAME"] = "YOUR_LLM_MODEL_NAME" # os.environ["LLM_BASE_URL"] = "YOUR_LLM_BASE_URL" # os.environ["LLM_API_KEY"] = "YOUR_LLM_API_KEY" if __name__ == '__main__': llm_config = ModelConfig( llm_provider=os.getenv("LLM_PROVIDER", "openai"), llm_model_name=os.getenv("LLM_MODEL_NAME"), llm_base_url=os.getenv("LLM_BASE_URL"), llm_api_key=os.getenv("LLM_API_KEY"), llm_temperature=os.getenv("LLM_TEMPERATURE", 0.0) ) browser_tool_config = BrowserToolConfig(width=1280, height=720, headless=False, keep_browser_open=True, use_async=True, custom_executor=True, llm_config=llm_config) agent_config = BrowserAgentConfig( name=Agents.BROWSER.value, tool_calling_method="raw", llm_config=llm_config, max_actions_per_step=10, max_input_tokens=128000, working_dir="", # llm model not supported vision, need to set `False` # use_vision=False ) task_config = { 'max_steps': 100, 'max_actions_per_step': 100 } task = Task( input="""step1: first go to https://www.dangdang.com/ and search for 'the little prince' and rank by sales from high to low, get the first 5 results and put the products info in memory. step 2: write each product's title, price, discount, and publisher information to a fully structured HTML document with write_to_file, ensuring that the data is presented in a table with visible grid lines. step3: open the html file in browser by go_to_url""", agent=BrowserAgent(conf=agent_config, name=Agents.BROWSER.value, tool_names=[Tools.BROWSER.name]), tools_conf={Tools.BROWSER.value: browser_tool_config}, conf=task_config ) Runners.sync_run_task(task)