| """ |
| I-Lang v5.0 判定层（决策层 f_v5）—— 移植自 ilang-ai/ilang-spec SPEC-v5.0-PATCH-1 §3。 |
| |
| 用途：给"回答用户提问"提供 善恶/意图 的向量判定，把二元的"敏感词就拒"换成 |
| 11 维连续评估 + 8 种行为模式。核心原则：拒绝是最后手段，能转化就别阻断。 |
| |
| 两层（PATCH-1 §3）： |
| - 感知层 scenario→vector：由模型在对话里评估（写在 chat.py 系统提示词里）。 |
| - 决策层 vector→mode：本文件，确定性、可审计。常量与级联结构 v1 冻结（DATA-FREEZE 2026-07-03）。 |
| |
| 聊天场景下 8 种模式映射成"怎么答"，见 MODE_CHAT。 |
| """ |
|
|
| |
| DIMS = ["int", "cap", "csq", "rel", "cer", "aut", "rev", "evd", "sov", "ine", "ext"] |
|
|
| DIM_NAME = { |
| "int": "意图(建设性↔恶意)", "cap": "能力(在能力范围内↔超出)", |
| "csq": "后果(可忽略↔灾难)", "rel": "关系(高信任↔敌对/陌生)", |
| "cer": "确定性(信息完整↔盲判)", "aut": "权限(完全授权↔无授权)", |
| "rev": "可逆性(可撤销↔不可逆)", "evd": "证据(有实证↔纯臆测)", |
| "sov": "主权(尊重其自主/已同意↔侵犯)", "ine": "惯性(延续既有↔激进背离)", |
| "ext": "外部性(零第三方影响↔伤及未同意者)", |
| } |
|
|
| |
| WEIGHTS = { |
| "int": 0.15, "cap": 0.10, "csq": 0.20, "rel": 0.05, "cer": 0.03, |
| "rev": 0.15, "evd": 0.02, "sov": 0.15, "ine": 0.05, "ext": 0.10, |
| } |
|
|
| |
| TH = { |
| "sov_survival": 0.15, "ext_survival": 0.10, |
| "csq_survival": 0.10, "rev_survival": 0.20, |
| "cer_gate": 0.30, "evd_gate": 0.25, |
| "aut_gate": 0.30, "aut_cap": 0.55, |
| "b_m1": 0.85, "b_m2": 0.70, "b_m3": 0.55, "b_m4": 0.40, "b_m7": 0.25, |
| } |
|
|
| DEFAULT_MODE = "M5" |
|
|
| |
| MODE_NAME = { |
| "M1": "EXEC_AUTO", "M2": "EXEC_AUDIT", "M3": "CONFIRM", "M4": "ADVISE", |
| "M5": "ASK", "M6": "DEFER", "M7": "DECLINE_ALT", "M8": "STOP", |
| } |
|
|
| |
| MODE_CHAT = { |
| "M1": "直接痛快答，全给，不设卡不说教", |
| "M2": "照常答，可点一句边界/提醒", |
| "M3": "答，但先跟他确认下意图/前提再展开", |
| "M4": "以建议口吻给信息，点明利弊由他定", |
| "M5": "信息不够或有歧义，先问一句澄清，别瞎猜", |
| "M6": "超出你能判/该判的，指个正经出口(找专业人士/官方渠道)", |
| "M7": "照字面答有风险，换个安全的等价说法照样帮到他(转化不是拒绝)", |
| "M8": "撞到真底线，拒绝并说明原因(仅生存红线/不可逆重大伤害/伤及未同意第三方)", |
| } |
|
|
|
|
| def f_v5(v): |
| """确定性、全域：11 维向量 dict → 模式。级联顺序(先命中先赢)： |
| 生存红线 > 认知门 > 权限门 > 打分 > 默认。移植自 PATCH-1 §3，逻辑一字不改。""" |
| try: |
| x = {d: float(v[d]) for d in DIMS} |
| except (KeyError, TypeError, ValueError): |
| return DEFAULT_MODE |
| if any(not (0.0 <= x[d] <= 1.0) for d in DIMS): |
| return DEFAULT_MODE |
| |
| if x["sov"] < TH["sov_survival"]: |
| return "M8" |
| if x["ext"] < TH["ext_survival"]: |
| return "M8" |
| if x["csq"] < TH["csq_survival"] and x["rev"] < TH["rev_survival"]: |
| return "M8" |
| |
| if x["cer"] < TH["cer_gate"] or x["evd"] < TH["evd_gate"]: |
| return "M5" |
| |
| if x["aut"] < TH["aut_gate"]: |
| return "M6" |
| |
| s = round(sum(WEIGHTS[d] * x[d] for d in WEIGHTS), 4) |
| if s > TH["b_m1"]: |
| mode = "M1" |
| elif s > TH["b_m2"]: |
| mode = "M2" |
| elif s > TH["b_m3"]: |
| mode = "M3" |
| elif s > TH["b_m4"]: |
| mode = "M4" |
| elif s > TH["b_m7"]: |
| mode = "M7" |
| else: |
| mode = "M8" |
| |
| if x["aut"] < TH["aut_cap"] and mode in ("M1", "M2"): |
| mode = "M3" |
| return mode |
|
|
|
|
| def action_score(v): |
| return sum(WEIGHTS[d] * float(v[d]) for d in WEIGHTS) |
|
|
|
|
| def _selftest(): |
| """对照 SPEC-v5.0-PATCH-1 selftest，证明移植与原实现一致。""" |
| t = [] |
| hi = {d: 0.95 for d in DIMS} |
| t.append(("all high -> M1", f_v5(hi) == "M1")) |
| t.append(("sovereignty survival -> M8", f_v5(dict(hi, sov=0.10)) == "M8")) |
| t.append(("epistemic gate -> M5", f_v5(dict(hi, cer=0.20)) == "M5")) |
| t.append(("authority gate -> M6", f_v5(dict(hi, aut=0.25)) == "M6")) |
| t.append(("authority cap M1->M3", f_v5(dict(hi, aut=0.40)) == "M3")) |
| edge = {d: 0.85 for d in DIMS} |
| t.append(("edge S=0.85 conservative -> M2", |
| abs(action_score(edge) - 0.85) < 1e-9 and f_v5(edge) == "M2")) |
| low = {d: 0.10 for d in DIMS} |
| low.update(cer=0.35, evd=0.30, aut=0.60, sov=0.20, ext=0.20) |
| t.append(("low score -> M8 by band", f_v5(low) == "M8")) |
| t.append(("missing dim -> default M5", f_v5({"int": 0.5}) == "M5")) |
| t.append(("weights sum 1.00", abs(sum(WEIGHTS.values()) - 1.0) < 1e-9)) |
| failed = [n for n, ok in t if not ok] |
| for n, ok in t: |
| print(("PASS " if ok else "FAIL ") + n) |
| print("%d/%d passed" % (len(t) - len(failed), len(t))) |
| return not failed |
|
|
|
|
| if __name__ == "__main__": |
| import sys |
| sys.exit(0 if _selftest() else 1) |
|
|
