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103 lines
2.4 KiB
103 lines
2.4 KiB
import multion
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from swarms.structs.concurrent_workflow import ConcurrentWorkflow
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from swarms.models.base_llm import AbstractLLM
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from swarms.structs.agent import Agent
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from swarms.structs.task import Task
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class MultiOnAgent(AbstractLLM):
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"""
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Represents a multi-on agent that performs browsing tasks.
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Args:
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max_steps (int): The maximum number of steps to perform during browsing.
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starting_url (str): The starting URL for browsing.
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Attributes:
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max_steps (int): The maximum number of steps to perform during browsing.
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starting_url (str): The starting URL for browsing.
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"""
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def __init__(
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self,
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multion_api_key: str,
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max_steps: int = 4,
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starting_url: str = "https://www.google.com",
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*args,
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**kwargs,
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):
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super().__init__(*args, **kwargs)
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self.multion_api_key = multion_api_key
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self.max_steps = max_steps
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self.starting_url = starting_url
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multion.login(
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use_api=True,
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# multion_api_key=self.multion_api_key
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*args,
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**kwargs,
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)
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def run(self, task: str, *args, **kwargs):
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"""
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Runs a browsing task.
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Args:
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task (str): The task to perform during browsing.
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*args: Additional positional arguments.
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**kwargs: Additional keyword arguments.
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Returns:
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dict: The response from the browsing task.
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"""
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response = multion.browse(
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{
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"cmd": task,
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"url": self.starting_url,
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"maxSteps": self.max_steps,
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},
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*args,
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**kwargs,
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)
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return response.result, response.status, response.lastUrl
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# model
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model = MultiOnAgent(
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multion_api_key="535ae401948b4c59bc1b2c61eec90fe6"
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)
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# out = model.run("search for a recipe")
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agent = Agent(
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agent_name="MultiOnAgent",
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description="A multi-on agent that performs browsing tasks.",
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llm=model,
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max_loops=1,
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system_prompt=None,
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)
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# Task
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task = Task(
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agent=agent,
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description=(
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"send an email to vyom on superhuman for a partnership with"
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" multion"
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),
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)
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# Swarm
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workflow = ConcurrentWorkflow(
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max_workers=1000,
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autosave=True,
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print_results=True,
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return_results=True,
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)
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# Add task to workflow
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workflow.add(task)
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# Run workflow
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workflow.run()
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