feat：意图识别优化

app/processor/intent_policy.py

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+"""意图门控的单一来源：根据分类结果、风险和澄清次数决定最终意图"""
+
+from app.schemas.decision import ChoiceResult
+from app.schemas.requirement import Intent
+
+# 会修改大屏的意图，判错的代价高，使用较严格的阈值；问答判错代价低，使用宽松阈值
+ACTION_INTENTS = ("create_screen", "modify_screen")
+
+
+def resolve_intent(
+    decision: ChoiceResult,
+    *,
+    action_min_probability: float,
+    qa_min_probability: float,
+    clarified_rounds: int,
+    max_clarify_rounds: int,
+    option_selected: bool,
+) -> Intent:
+    """按选中项自身的概率门控，confidence 只表示分布集中度，不作为判据
+
+    - 用户刚点选澄清选项时，选择本身已表达意图，直接沿用模型判断
+    - 模型判定 unclear 时始终澄清；仅因概率不足而存疑时，澄清次数用尽后退回问答
+    """
+    choice = decision.choice
+    # 缺少该选项的概率时退回 confidence，避免因协议缺字段而误判
+    probability = decision.probabilities.get(choice, decision.confidence)
+    minimum = action_min_probability if choice in ACTION_INTENTS else qa_min_probability
+
+    # 模型明确判定语义不明时始终澄清，直到用户说清或取消
+    if choice == "unclear":
+        return "unclear"
+    if option_selected or probability >= minimum:
+        return choice  # type: ignore[return-value]
+    # 只是把握不足时，澄清次数用尽后安全地退回问答，而不是继续追问
+    if clarified_rounds >= max_clarify_rounds:
+        return "qa"
+    return "unclear"