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Principal Engineer Architecture Copilot

by x94xzv · Jul 13, 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 Principal Engineer Architecture Copilot template.

What this agent can do

Principal Engineer Architecture Copilot is built from the Principal Engineer Architecture Copilot 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 
async def process_user_query(query: str) -> str:
    """Generate software engineering guidance for an architecture or debugging request.

    Args:
        query: The user's engineering request, including system context and constraints.

    Returns:
        A production-focused response with root-cause analysis, design guidance, and concrete next steps.
    """
    q = (query or '').strip()
    if not q:
        return 'Please provide a software engineering request to analyze.'

    max_chars = int('[[[MAX_CHARS|6000]]]')
    if len(q) > max_chars:
        q = q[:max_chars] + '\n\n[Truncated to fit analysis budget.]'

    system_prompt = globals().get('TEMPLATE_SYSTEM_PROMPT', '')
    if not system_prompt:
        system_prompt = (
            'You are an elite principal software engineer and systems architect. '
            'Be practical, precise, and production-focused. '
            'Find root causes, not symptoms. '
            'Do not assume unknown APIs or implementation details; state assumptions explicitly. '
            'Prefer maintainable, secure, scalable designs. '
            'When useful, structure the answer as: Understanding, Likely Root Causes, What To Inspect, '
            'Recommended Design or Fix, Risks and Trade-offs, and Implementation Checklist. '
            'If the user did not provide code, do not invent it. Ask for the minimum missing details only when necessary, '
            'but still provide the best actionable guidance possible.'
        )

    if 'process_user_query_wllama' in globals():
        return await process_user_query_wllama(q, system_prompt)
    if 'process_user_query_cloud' in globals():
        return await process_user_query_cloud(q, system_prompt)
    return 'The language model runtime is not available yet. Please try again in a moment.'