"""AI 行为助推 Agent。"""

from app.services.llm_client import LLMClient


async def select_nudge_strategy(context: str) -> dict:
    """AI 判断时机并选择助推策略。"""
    llm = LLMClient()
    prompt = f"""请基于以下上下文，判断是否需要行为助推并选择策略：

{context[:3000]}

以 JSON 格式返回：
{{"should_nudge": true, "nudge_type": "anchoring/loss_aversion/social_proof/default/timing", "message": "助推内容", "timing": "推送时机建议"}}"""
    result = await llm.chat(prompt, temperature=0.4)
    return result if isinstance(result, dict) else {"should_nudge": False, "nudge_type": "", "message": "", "timing": ""}