// agent

My Albxtweaks Premium PC Optimization Studio

by Albxtweaks · Aug 17, 2026 Public

Choose how to run this agent

⚡ Local runs on your GPU. For usable speed it needs a WebGPU-capable browser — Chrome or Edge on a machine with a graphics card, or an Apple Silicon Mac. Without a supported GPU, pick OpenAI or Anthropic above instead. Check your machine
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Requires an API key and an AgentOp account.

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Description

Based on the Albxtweaks Premium PC Optimization Studio template.

What this agent can do

My Albxtweaks Premium PC Optimization Studio is built from the Albxtweaks Premium PC Optimization Studio template. Runs fully on your own device: llama.cpp compiled to WebAssembly, GPU-accelerated through WebGPU, with no API key and no server. After the one-time model download it works offline. Can run on OpenAI models with your own API key, encrypted in your browser. Can run on Anthropic Claude models with your own API key, encrypted in your browser.

Source Code

agent.py
from typing import Optional

MAX_CHARS = int('[[[MAX_CHARS|6000]]]')


def get_app_overview() -> str:
    """Return a concise overview of the Albxtweaks interface.

    Args:
        None
    """
    return (
        "Albxtweaks is a premium Windows-style optimization dashboard with a login screen, "
        "license tracking, restore-point safety workflow, and categories for Windows, Gaming, "
        "Input Lag, Mouse, Keyboard, and Network. This template currently provides the full UI "
        "structure and assistant guidance rather than making live system changes."
    )


def describe_section(section: str) -> str:
    """Describe one Albxtweaks section in a short, safety-focused way.

    Args:
        section: The section name such as Windows, Gaming, Input Lag, Mouse, Keyboard, Network, Dashboard, or Restore Safety.
    """
    section_key = (section or '').strip().lower()
    mapping = {
        'windows': 'The Windows section organizes reversible desktop and background-behavior tuning workflows with an emphasis on review before change.',
        'gaming': 'The Gaming section groups game-focused system preparation steps and housekeeping guidance without promising guaranteed results.',
        'input lag': 'The Input Lag section is designed for reviewing latency-related settings and system consistency in a careful, rollback-aware workflow.',
        'mouse': 'The Mouse section covers pointer behavior, acceleration review, and device setup notes intended for consistency and user control.',
        'keyboard': 'The Keyboard section focuses on repeat behavior, accessibility checks, and device setup review in an undo-safe layout.',
        'network': 'The Network section centralizes adapter and traffic-related review steps with reversible workflow guidance.',
        'dashboard': 'The Dashboard summarizes license state, remaining time, safety readiness, and access to the Albxtweaks assistant panel.',
        'restore safety': 'The Restore Safety section encourages users to create a restore point before any system-level changes and to prefer reversible workflows.'
    }
    return mapping.get(section_key, 'This Albxtweaks section is part of the premium optimization workspace and is designed with safety-first structure.')


async def process_user_query(query: str) -> str:
    q = (query or '').strip()[:MAX_CHARS]
    if not q:
        return 'Please enter an Albxtweaks question.'

    lower_q = q.lower()
    if 'windows' in lower_q:
        context = describe_section('windows')
    elif 'gaming' in lower_q:
        context = describe_section('gaming')
    elif 'input lag' in lower_q:
        context = describe_section('input lag')
    elif 'mouse' in lower_q:
        context = describe_section('mouse')
    elif 'keyboard' in lower_q:
        context = describe_section('keyboard')
    elif 'network' in lower_q:
        context = describe_section('network')
    elif 'restore' in lower_q or 'safety' in lower_q:
        context = describe_section('restore safety')
    elif 'dashboard' in lower_q or 'license' in lower_q:
        context = describe_section('dashboard')
    else:
        context = get_app_overview()

    prompt = (
        f"User request: {q}\n\n"
        f"Albxtweaks context: {context}\n\n"
        "Respond as the Albxtweaks assistant. Be concise. Describe the UI structure or workflow only. "
        "Do not claim guaranteed FPS gains, zero input lag, or certain system outcomes. "
        "If the request sounds like a real optimization action, clarify that this version is a UI and workflow scaffold."
    )

    try:
        result = await call_llm(prompt, globals().get('TEMPLATE_SYSTEM_PROMPT', ''))
        return str(result)[:MAX_CHARS]
    except Exception:
        return context