Control a browser with Notte's reasoning engine

Control browsers with AI using Steel's infrastructure and Notte's reasoning engine.

examples/notte
Contributors: Updated
Terminal

Scaffolds a starter project locally. Requires the Steel CLI.

Notte builds its agent on top of a perception layer. Each step, notte.Session flattens the live DOM into a compact action space (labeled interactive elements, form fields, section headings) and hands that structured view to the reasoning model. The model picks an action by id, Notte translates it back into a browser command.

This recipe points that loop at a Steel session instead of a locally-launched browser.

with notte.Session(cdp_url=cdp_url) as notte_session:

    agent = notte.Agent(

        session=notte_session,

        max_steps=5,

        reasoning_model="gemini/gemini-2.5-flash",

    )

    response = agent.run(task=TASK)

notte.Session(cdp_url=...) is the integration surface. The default perception_type is "fast" (heuristic parser); pass perception_type="deep" on pages where the fast path misses elements.

max_steps caps iterations. The starter uses 5; sign-in / filter / extract flows typically want 15 to 30. The agent exits early when it marks the task complete.

Run it

cd examples/notte

cp .env.example .env          # set STEEL_API_KEY and GEMINI_API_KEY

uv run main.py

Get keys from app.steel.dev and aistudio.google.com. The session viewer URL prints as the script starts.

Your output varies. Structure looks like this:

Steel + Notte Assistant

============================================================



Starting Steel browser session...

Steel Session created!

View session at https://app.steel.dev/sessions/ab12cd34...



Executing task: Go to Wikipedia and search for machine learning

============================================================



============================================================

TASK EXECUTION COMPLETED

============================================================

Duration: 24.3 seconds

Task: Go to Wikipedia and search for machine learning

Result:

Machine learning is a field of artificial intelligence...

============================================================



Releasing Steel session...

Session completed. View replay at https://app.steel.dev/sessions/ab12cd34...

Done!

A default run takes ~25 seconds. The finally block calls client.sessions.release(session.id).

Make it yours

  • Change the task. Set TASK in .env or edit the default in main.py.
  • Raise max_steps. Bump the ceiling on notte.Agent(...) for multi-page flows.
  • Swap the reasoning model. Change reasoning_model on notte.Agent. Flash for speed, GPT-5 or Sonnet for ambiguity.
  • Switch to deep perception. Pass perception_type="deep" to notte.Session(...) when the fast heuristics miss elements.
  • Turn on stealth. Add use_proxy=True, solve_captcha=True, or session_timeout=1800000 to client.sessions.create() for sites with anti-bot.

Notte docs · Notte on GitHub

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