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Description
Based on the Principal Engineer Architecture Copilot template.
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.'