98 lines
2.5 KiB
Python
98 lines
2.5 KiB
Python
import asyncio
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import json
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import os
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import sys
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sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
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from dotenv import load_dotenv
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load_dotenv()
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import httpx
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from langchain_openai import ChatOpenAI
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from pydantic import BaseModel
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from browser_use import ActionResult, Agent, Controller
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class Person(BaseModel):
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name: str
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email: str | None = None
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class PersonList(BaseModel):
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people: list[Person]
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controller = Controller(exclude_actions=['search_google'], output_model=PersonList)
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BEARER_TOKEN = os.getenv('BEARER_TOKEN')
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if not BEARER_TOKEN:
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# use the api key for ask tessa
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# you can also use other apis like exa, xAI, perplexity, etc.
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raise ValueError('BEARER_TOKEN is not set - go to https://www.heytessa.ai/ and create an api key')
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@controller.registry.action('Search the web for a specific query')
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async def search_web(query: str):
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keys_to_use = ['url', 'title', 'content', 'author', 'score']
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headers = {'Authorization': f'Bearer {BEARER_TOKEN}'}
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async with httpx.AsyncClient() as client:
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response = await client.post('https://asktessa.ai/api/search', headers=headers, json={'query': query})
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final_results = [
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{key: source[key] for key in keys_to_use if key in source}
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for source in response.json()['sources']
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if source['score'] >= 0.8
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]
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# print(json.dumps(final_results, indent=4))
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result_text = json.dumps(final_results, indent=4)
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print(result_text)
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return ActionResult(extracted_content=result_text, include_in_memory=True)
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names = [
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'Ruedi Aebersold',
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'Bernd Bodenmiller',
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'Eugene Demler',
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'Erich Fischer',
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'Pietro Gambardella',
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'Matthias Huss',
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'Reto Knutti',
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'Maksym Kovalenko',
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'Antonio Lanzavecchia',
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'Maria Lukatskaya',
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'Jochen Markard',
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'Javier Pérez-Ramírez',
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'Federica Sallusto',
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'Gisbert Schneider',
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'Sonia I. Seneviratne',
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'Michael Siegrist',
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'Johan Six',
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'Tanja Stadler',
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'Shinichi Sunagawa',
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'Michael Bruce Zimmermann',
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]
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async def main():
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task = 'use search_web with "find email address of the following ETH professor:" for each of the following persons in a list of actions. Finally return the list with name and email if provided'
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task += '\n' + '\n'.join(names)
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model = ChatOpenAI(model='gpt-4o')
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agent = Agent(task=task, llm=model, controller=controller, max_actions_per_step=20)
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history = await agent.run()
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result = history.final_result()
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if result:
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parsed: PersonList = PersonList.model_validate_json(result)
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for person in parsed.people:
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print(f'{person.name} - {person.email}')
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else:
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print('No result')
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if __name__ == '__main__':
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asyncio.run(main())
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