"""Minimal placeholder for AI-assisted features.

This module provides a tiny interface that can be expanded later to connect to
an LLM for syntax fixes and circuit explanations. For now it contains a stub
`explain_ir` which returns a short textual description of the IR.
"""
from typing import Dict, Any


def explain_ir(ir: Dict[str, Any]) -> str:
    parts: list[str] = []
    parts.append(f"Use Qiskit: {ir.get('use_qiskit', False)}")
    parts.append(f"Qubits: {ir.get('qubits')}")
    if ir.get('classical') is not None:
        parts.append(f"Classical bits: {ir.get('classical')}")
    ops = ir.get('ops', [])
    parts.append(f"Operations: {len(ops)} op(s)")
    for o in ops:
        parts.append(str(o))
    return "\n".join(parts)
