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Overview

Execute autonomous agents powered by LLMs that can navigate websites, perform complex workflows, and complete tasks through natural language instructions.

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Agent Management with Python SDK

The following snippet shows how to manage your agents using the Notte Python SDK. 
from notte_sdk import NotteClient

notte = NotteClient()
with notte.Session() as session:
    agent = notte.Agent(session=session, max_steps=10)
    response = agent.run(task="Find the best italian restaurant in SF and book a table for 2 at 7pm today")
    print(f"Agent terminated with status: {response.success} and answer: {response.answer}")

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Agent Fallbacks

Agents can also be used to handle script execution failures. This is useful to continue an otherwise deterministic script execution after a failure.
agent_fallback.py
from notte_sdk import NotteClient

notte = NotteClient()
url = "https://www.linkedin.com/feed/"
company_name = "nottelabs"

# scrape all new posts (post url, date, title, content) from the company page on LinkedIn
with notte.Session() as session:
	session.execute(type="goto", url=url)
	# spin up agent fallback if the search for the company name fails
	with notte.AgentFallback(session=session,
		task=f"Open the company page for {company_name}. Fail if user is not logged in.") as agent:
		# search for the company name
		session.execute(type="fill", selector="internal:role=combobox[name=\"Search\"i]", value=company_name)
		# press enter to search
		session.execute(type="press_key", key="Enter")
		# click on the company link
		session.execute(type="click", selector=f"internal:role=link[name=\"{company_name}\"s] >> nth=0")
	# open the post tab on the company page
	session.execute(type="click", selector="internal:role=link[name=\"Posts\"i]", raise_on_failure=False)
	data = session.scrape(instructions="scrape all new posts (post url, date, title, content)")
	print(f"Scraped data: {data}")