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57 lines
2.4 KiB
Python
57 lines
2.4 KiB
Python
# coding: utf-8
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# Copyright (c) 2025 inclusionAI.
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import os
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from aworld.config.conf import ModelConfig
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from aworld.core.task import Task
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from aworld.runner import Runners
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from examples.browser_use.agent import BrowserAgent
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from examples.browser_use.config import BrowserAgentConfig
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from examples.common.tools.common import Agents, Tools
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from examples.common.tools.conf import BrowserToolConfig
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# os.environ["LLM_MODEL_NAME"] = "YOUR_LLM_MODEL_NAME"
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# os.environ["LLM_BASE_URL"] = "YOUR_LLM_BASE_URL"
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# os.environ["LLM_API_KEY"] = "YOUR_LLM_API_KEY"
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if __name__ == '__main__':
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llm_config = ModelConfig(
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llm_provider=os.getenv("LLM_PROVIDER", "openai"),
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llm_model_name=os.getenv("LLM_MODEL_NAME"),
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llm_base_url=os.getenv("LLM_BASE_URL"),
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llm_api_key=os.getenv("LLM_API_KEY"),
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llm_temperature=os.getenv("LLM_TEMPERATURE", 0.0)
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)
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browser_tool_config = BrowserToolConfig(width=1280,
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height=720,
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headless=False,
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keep_browser_open=True,
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use_async=True,
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custom_executor=True,
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llm_config=llm_config)
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agent_config = BrowserAgentConfig(
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name=Agents.BROWSER.value,
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tool_calling_method="raw",
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llm_config=llm_config,
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max_actions_per_step=10,
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max_input_tokens=128000,
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working_dir="",
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# llm model not supported vision, need to set `False`
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# use_vision=False
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)
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task_config = {
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'max_steps': 100,
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'max_actions_per_step': 100
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}
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task = Task(
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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.
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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.
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step3: open the html file in browser by go_to_url""",
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agent=BrowserAgent(conf=agent_config, name=Agents.BROWSER.value, tool_names=[Tools.BROWSER.name]),
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tools_conf={Tools.BROWSER.value: browser_tool_config},
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conf=task_config
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)
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Runners.sync_run_task(task)
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