582 lines
24 KiB
Python
582 lines
24 KiB
Python
"""
|
||
对话 Agent 提示词模板和访谈问题库
|
||
"""
|
||
|
||
from enum import Enum
|
||
from typing import Dict, List, Optional
|
||
|
||
from app.agents.chat.background_voice import (
|
||
get_background_voice_chat_block,
|
||
normalize_background_voice,
|
||
)
|
||
from app.agents.chat.interview_reply_length import (
|
||
heuristic_likely_chit_chat,
|
||
heuristic_likely_emotional,
|
||
heuristic_likely_new_detail,
|
||
)
|
||
from app.agents.chat.personas import (
|
||
get_interview_persona_block,
|
||
get_opening_persona_line,
|
||
normalize_interview_persona,
|
||
)
|
||
from app.core.config import settings
|
||
|
||
|
||
class ConversationStage(str, Enum):
|
||
"""对话阶段枚举"""
|
||
|
||
CHILDHOOD = "childhood" # 童年
|
||
EDUCATION = "education" # 教育
|
||
CAREER = "career" # 事业
|
||
FAMILY = "family" # 家庭
|
||
BELIEFS = "beliefs" # 信念
|
||
SUMMARY = "summary" # 人生总结
|
||
|
||
|
||
# 访谈问题库（每阶段 2～3 条短问句，供参考；主流程仍由模型与槽位驱动）
|
||
INTERVIEW_QUESTIONS: Dict[ConversationStage, List[str]] = {
|
||
ConversationStage.CHILDHOOD: [
|
||
"你是在哪儿长大的？小时候印象最深的一件事是什么？",
|
||
"小时候家里是怎样的？父母对你影响大吗？",
|
||
],
|
||
ConversationStage.EDUCATION: [
|
||
"求学阶段印象最深的是哪段经历？",
|
||
"有没有哪位老师或同学对你影响特别大？毕业后最初想做什么？",
|
||
],
|
||
ConversationStage.CAREER: [
|
||
"第一次工作还记得吗？当时心情怎样？",
|
||
"事业里遇到过最大的挑战是什么？怎么挺过来的？有没有特别自豪的时刻？",
|
||
],
|
||
ConversationStage.FAMILY: [
|
||
"和伴侣是怎么认识的？做父母时最难忘或最骄傲的瞬间？",
|
||
"家庭在你的人生里扮演什么角色？",
|
||
],
|
||
ConversationStage.BELIEFS: [
|
||
"有没有一直坚守的信念或座右铭？哪些价值观对你最重要？",
|
||
"你怎样理解成功与幸福？低谷时是什么支撑你？",
|
||
],
|
||
ConversationStage.SUMMARY: [
|
||
"回顾一生，最重要的经验或教训是什么？最感激的人与事有哪些？",
|
||
"若能对年轻时的自己说一句话，你会说什么？",
|
||
],
|
||
}
|
||
|
||
|
||
def _guided_voice_intro_line(background_voice: str) -> str:
|
||
"""顶部角色描述：温暖陪聊，但仍控制篇幅。"""
|
||
if normalize_background_voice(background_voice) == "default":
|
||
return (
|
||
"你是「岁月知己」，像老朋友陪用户聊人生。"
|
||
"**先真诚接住对方的话**，再决定要不要追问；短句为主，但**接住情绪比控制字数更重要**。"
|
||
)
|
||
return (
|
||
"你是「岁月知己」，像老朋友陪用户聊人生。"
|
||
"**先真诚承接对方一句，再自然推进**；短句为主，遵守下方长度档位。"
|
||
)
|
||
|
||
|
||
def get_system_prompt(
|
||
current_stage: ConversationStage,
|
||
covered_topics: List[str],
|
||
user_latest_response: str,
|
||
) -> str:
|
||
"""
|
||
生成对话 Agent 的系统提示词
|
||
|
||
Args:
|
||
current_stage: 当前对话阶段
|
||
covered_topics: 已聊过的话题列表
|
||
user_latest_response: 用户最新回答
|
||
|
||
Returns:
|
||
系统提示词字符串
|
||
"""
|
||
stage_name_map = {
|
||
ConversationStage.CHILDHOOD: "童年",
|
||
ConversationStage.EDUCATION: "教育",
|
||
ConversationStage.CAREER: "事业",
|
||
ConversationStage.FAMILY: "家庭",
|
||
ConversationStage.BELIEFS: "信念",
|
||
ConversationStage.SUMMARY: "人生总结",
|
||
}
|
||
|
||
covered_topics_str = "、".join(covered_topics) if covered_topics else "暂无"
|
||
|
||
prompt = f"""你是「岁月知己」，像老朋友一样陪用户聊人生。**回复要短**，像微信聊天，不要长篇、不要文学腔。
|
||
|
||
规则：先简短接住对方一句，**最多再问一个具体问题**；禁止括号与思考过程；禁止采访腔（如「我注意到」「我想了解」）；**不要重复确认**对方刚说过或上文已能推断的信息。
|
||
|
||
当前阶段：{stage_name_map.get(current_stage, current_stage.value)}
|
||
已聊话题：{covered_topics_str}
|
||
|
||
直接输出对用户说的话。"""
|
||
|
||
return prompt
|
||
|
||
|
||
def get_questions_for_stage(stage: ConversationStage) -> List[str]:
|
||
"""获取指定阶段的所有问题"""
|
||
return INTERVIEW_QUESTIONS.get(stage, [])
|
||
|
||
|
||
SLOT_NAME_MAP = {
|
||
"place": "成长的地方",
|
||
"people": "重要的人",
|
||
"daily_life": "日常生活",
|
||
"emotion": "童年感受",
|
||
"turning_event": "难忘的事",
|
||
"school": "学校经历",
|
||
"city": "求学的城市",
|
||
"motivation": "学习动力",
|
||
"challenge": "遇到的挑战",
|
||
"change": "成长变化",
|
||
"job": "工作内容",
|
||
"environment": "工作环境",
|
||
"decision": "重要决定",
|
||
"pressure": "压力与困难",
|
||
"growth": "职业成长",
|
||
"relationship": "家人关系",
|
||
"conflict": "矛盾与化解",
|
||
"support": "相互支持",
|
||
"responsibility": "家庭责任",
|
||
"value": "核心价值观",
|
||
"regret": "遗憾与释怀",
|
||
"pride": "骄傲的事",
|
||
"lesson": "人生经验",
|
||
}
|
||
|
||
STAGE_RELATED_TOPICS = {
|
||
"childhood": ["family", "education"],
|
||
"education": ["childhood", "career"],
|
||
"career": ["education", "family", "belief"],
|
||
"family": ["childhood", "career", "belief"],
|
||
"belief": ["career", "family"],
|
||
}
|
||
|
||
LIGHT_TOPICS = [
|
||
"有什么爱好或者特别喜欢的消遣方式吗？",
|
||
"最近有什么让你开心的事吗？",
|
||
"有没有什么趣事想分享？",
|
||
"平时喜欢看什么书或者电影吗？",
|
||
]
|
||
|
||
RESPONSE_STYLES = [
|
||
"empathy",
|
||
"curious",
|
||
"reflection",
|
||
"lighthearted",
|
||
"connection",
|
||
]
|
||
|
||
|
||
def get_opening_prompt(
|
||
current_stage: str,
|
||
empty_slots_readable: List[str],
|
||
user_profile_context: str = "",
|
||
persona: str = "default",
|
||
background_voice: str = "default",
|
||
) -> str:
|
||
"""空对话时 AI 先开口的提示词"""
|
||
stage_name_map = {
|
||
"childhood": "童年时光",
|
||
"education": "求学经历",
|
||
"career": "职业生涯",
|
||
"family": "家庭生活",
|
||
"belief": "人生信念",
|
||
}
|
||
stage_name = stage_name_map.get(current_stage, current_stage)
|
||
if empty_slots_readable:
|
||
topics_str = "、".join(empty_slots_readable)
|
||
topics_heading = (
|
||
f"## 当前建议话题（{stage_name}）\n可以从中选一个来问：{topics_str}"
|
||
)
|
||
task_question = (
|
||
"2. **必须问一个问题**：接着问一个**具体、好回答**的问题，引导用户开始分享；"
|
||
"优先落在上述还未聊透的方向上。不要问太宽泛的「有什么想聊的」。"
|
||
)
|
||
_opening_examples = {
|
||
"childhood": (
|
||
"示例（仅供参考风格）：\n"
|
||
'"你好呀～ 想听听你的人生故事。你小时候是在哪儿长大的？那边有什么特别让你怀念的？"\n或\n'
|
||
'"在的！今天想聊聊你。你童年里印象最深的一件事是什么？"'
|
||
),
|
||
"education": (
|
||
"示例（仅供参考风格）：\n"
|
||
'"嗨～ 想听听你求学那段日子。你印象最深的是哪段学校时光？"\n或\n'
|
||
'"在呢！你读书时有没有一位老师或同学，到现在还会想起？"'
|
||
),
|
||
"career": (
|
||
"示例（仅供参考风格）：\n"
|
||
'"你好呀～ 想听听你工作这条路上故事。你第一份工作还记得吗，当时什么心情？"\n或\n'
|
||
'"在的！你现在或过去做过的工作里，哪一段你最想先聊聊？"'
|
||
),
|
||
"family": (
|
||
"示例（仅供参考风格）：\n"
|
||
'"嗨～ 想听听你家里的事。和家里人相处时，有没有特别暖或难忘的一刻？"\n或\n'
|
||
'"在呢！如果用一个词形容你心里的「家」，你会想到什么？"'
|
||
),
|
||
"belief": (
|
||
"示例（仅供参考风格）：\n"
|
||
'"你好呀～ 想听听你心里看重的东西。有没有一句你一直信到现在的话？"\n或\n'
|
||
'"在的！你觉得自己走到今天，最放不下或最骄傲的是什么？"'
|
||
),
|
||
}
|
||
style_examples = _opening_examples.get(
|
||
current_stage,
|
||
_opening_examples["childhood"],
|
||
)
|
||
bv = normalize_background_voice(background_voice)
|
||
if bv == "cadre":
|
||
style_examples += (
|
||
"\n（干部/机关语境：问候稳重、不用「嗨～」；示例可参考）\n"
|
||
'"您好，想听听您的人生故事。您小时候是在哪儿长大的？哪一段印象最深？"\n或\n'
|
||
'"您好。今天想从您印象最深的一件事聊起，可以吗？"'
|
||
)
|
||
elif bv == "military":
|
||
style_examples += (
|
||
"\n（军队语境：简洁、得体；不用「嗨～」；示例可参考）\n"
|
||
'"您好。想听听您的经历。您童年印象最深的一件事是什么？"\n或\n'
|
||
'"您好，有空的话想聊聊您的人生故事。您小时候在哪儿长大？"'
|
||
)
|
||
else:
|
||
topics_heading = (
|
||
f"## 当前阶段（{stage_name}）\n"
|
||
"访谈结构化槽位里，这一阶段的主要问题在素材侧**已有覆盖**。"
|
||
"开场要像老朋友重逢：接近况、接续上次聊过的事、或任何用户可能想提起的新片段；"
|
||
"**禁止**为了凑问题而默认再从「童年在哪长大」等已覆盖模板重头盘问。"
|
||
)
|
||
task_question = (
|
||
"2. **问候 + 轻巧引子**：用一句温暖的话接上对话；若自然，可以问一个与近况、"
|
||
"想续上的回忆、或新冒出来的小事有关的问题。若不适合追问，问候 + 一句开放式引子即可。"
|
||
)
|
||
style_examples = (
|
||
"示例（仅供参考风格）：\n"
|
||
'"嘿，又见面啦～ 今天有没有哪件事突然从脑子里冒出来，想跟我说说？"\n或\n'
|
||
'"在的！上次聊到那儿我还记着，你后来还有想起什么细节吗？"'
|
||
)
|
||
profile_section = (
|
||
f"\n## 用户基本信息\n{user_profile_context}\n" if user_profile_context else ""
|
||
)
|
||
persona_key = normalize_interview_persona(persona)
|
||
opening_persona = get_opening_persona_line(persona_key)
|
||
persona_extra = f"\n## 访谈性格\n{opening_persona}\n" if opening_persona else ""
|
||
voice_block = get_background_voice_chat_block(background_voice)
|
||
voice_section = f"\n{voice_block}\n" if voice_block else ""
|
||
bv = normalize_background_voice(background_voice)
|
||
if bv == "default":
|
||
opening_head = (
|
||
"你是「岁月知己」。用户刚进对话，**还没说话**，请你先开口。"
|
||
"**短、像微信**，一两句问候 + 一句具体问题即可，不要排比、不要文学描写。"
|
||
)
|
||
else:
|
||
opening_head = (
|
||
"你是「岁月知己」。用户刚进对话，**还没说话**，请你先开口。"
|
||
"**短；两三句内完成问候 + 一个具体问题**；不要排比、不要文学描写。"
|
||
)
|
||
return f"""{opening_head}
|
||
{profile_section}
|
||
{topics_heading}
|
||
{persona_extra}{voice_section}
|
||
## 任务
|
||
1. 简短问候。
|
||
{task_question}
|
||
3. 自然、温暖，但**字数要少**。
|
||
|
||
## 格式
|
||
- 可用 [SPLIT] 分成最多 2 条；或一条里「问候 + 问题」。
|
||
- **禁止**括号、括号内策略/旁白（如「（先接住情绪）」）、思考过程；不要替用户编回答。
|
||
|
||
{style_examples}
|
||
|
||
直接输出（仅自然口语）："""
|
||
|
||
|
||
def _build_era_context(current_stage: str, user_profile_context: str) -> str:
|
||
"""根据用户的人生阶段和出生年份，生成对应时代的历史/政治/文化背景提示"""
|
||
if not user_profile_context:
|
||
return ""
|
||
|
||
birth_year = None
|
||
birth_place = ""
|
||
for line in user_profile_context.split("\n"):
|
||
if "出生年份" in line:
|
||
try:
|
||
birth_year = int(line.split("：")[1].strip().replace("年", ""))
|
||
except (ValueError, IndexError):
|
||
pass
|
||
if "出生地" in line or "成长地" in line:
|
||
birth_place = line.split("：")[1].strip() if "：" in line else ""
|
||
|
||
if not birth_year:
|
||
return ""
|
||
|
||
stage_era_map = {
|
||
"childhood": (0, 12),
|
||
"education": (6, 22),
|
||
"career": (18, 50),
|
||
"family": (20, 50),
|
||
"belief": (30, 60),
|
||
}
|
||
|
||
age_range = stage_era_map.get(current_stage, (0, 30))
|
||
era_start = birth_year + age_range[0]
|
||
era_end = birth_year + age_range[1]
|
||
|
||
era_events = []
|
||
decade_events = {
|
||
1950: "新中国成立初期、土地改革、抗美援朝",
|
||
1960: "大跃进、三年自然灾害、中苏关系变化",
|
||
1970: "文化大革命、知青上山下乡、中美建交",
|
||
1980: "改革开放、恢复高考、个体经济兴起、电视普及",
|
||
1990: "社会主义市场经济、下海潮、香港回归、互联网初期",
|
||
2000: "加入WTO、房地产兴起、手机普及、北京奥运",
|
||
2010: "移动互联网爆发、微信时代、共享经济、双创浪潮",
|
||
2020: "新冠疫情、直播经济、人工智能崛起",
|
||
}
|
||
|
||
for decade, events in decade_events.items():
|
||
if era_start <= decade + 9 and era_end >= decade:
|
||
era_events.append(f"{decade}年代：{events}")
|
||
|
||
if not era_events:
|
||
return ""
|
||
|
||
place_hint = f" {birth_place}" if birth_place else ""
|
||
# 短提示即可，避免模型写长段「时代散文」
|
||
return (
|
||
f"\n## 时代参考（一两句带过即可，勿长篇）\n"
|
||
f"约 {era_start}-{era_end} 年{place_hint}；可联想：{era_events[0]}"
|
||
+ (f"；{era_events[1]}" if len(era_events) > 1 else "")
|
||
+ "\n"
|
||
)
|
||
|
||
|
||
def _format_reply_length_section(current_mode: str) -> str:
|
||
"""软提示：本轮档位 + 三档说明（模型始终可见完整对照）。"""
|
||
safe = (
|
||
current_mode
|
||
if current_mode in ("brief", "standard", "expanded")
|
||
else "standard"
|
||
)
|
||
return f"""## 本轮回复长度
|
||
**当前档位：{safe}**
|
||
- **brief**：一两句话，简短温暖地接住对方，可以带一个小问题也可以不带。
|
||
- **standard**：承接 + 最多一个具体问题；像朋友聊天，不写长段。
|
||
- **expanded**：用户本轮分享了较多内容或情绪较浓——可以多说一两句承接对方话里的核心点，表达你听到了、你在意，再自然追问；**仍控制在两段以内**。
|
||
"""
|
||
|
||
|
||
def get_guided_conversation_prompt(
|
||
current_stage: str,
|
||
empty_slots: List[str],
|
||
filled_slots: Dict[str, str],
|
||
user_message: str,
|
||
conversation_turn: int = 0,
|
||
same_topic_turns: int = 0,
|
||
all_stages_coverage: Optional[Dict[str, Dict]] = None,
|
||
detected_user_stage: str = "",
|
||
user_profile_context: str = "",
|
||
persona: str = "default",
|
||
memory_evidence_text: str = "",
|
||
reply_length_mode: str = "standard",
|
||
background_voice: str = "default",
|
||
) -> str:
|
||
"""生成状态感知的对话提示词（档位由 Agent 计算的 ReplyPlan 传入，不在此重复推导）。"""
|
||
persona_key = normalize_interview_persona(persona)
|
||
persona_block = get_interview_persona_block(persona_key)
|
||
likely_new = heuristic_likely_new_detail(user_message)
|
||
likely_chit = heuristic_likely_chit_chat(user_message)
|
||
reply_length_section = _format_reply_length_section(reply_length_mode)
|
||
stage_name_map = {
|
||
"childhood": "童年时光",
|
||
"education": "求学经历",
|
||
"career": "职业生涯",
|
||
"family": "家庭生活",
|
||
"belief": "人生信念",
|
||
}
|
||
|
||
current_stage_name = stage_name_map.get(current_stage, current_stage)
|
||
user_stage_name = (
|
||
stage_name_map.get(detected_user_stage, "") if detected_user_stage else ""
|
||
)
|
||
user_jumped = detected_user_stage and detected_user_stage != current_stage
|
||
|
||
empty_slots_readable = [SLOT_NAME_MAP.get(s, s) for s in empty_slots]
|
||
empty_slots_str = (
|
||
"、".join(empty_slots_readable) if empty_slots_readable else "已聊得很充分"
|
||
)
|
||
|
||
filled_info = []
|
||
for key, value in filled_slots.items():
|
||
readable_key = SLOT_NAME_MAP.get(key, key)
|
||
filled_info.append(
|
||
f"{readable_key}: {value[:50]}..."
|
||
if len(value) > 50
|
||
else f"{readable_key}: {value}"
|
||
)
|
||
filled_slots_str = "\n".join(filled_info) if filled_info else "刚开始聊"
|
||
|
||
progress_lines = []
|
||
uncovered_stages = []
|
||
if all_stages_coverage:
|
||
for stage in ["childhood", "education", "career", "family", "belief"]:
|
||
cov = all_stages_coverage.get(stage, {})
|
||
filled_n = cov.get("filled", 0)
|
||
total_n = cov.get("total", 0)
|
||
sname = stage_name_map.get(stage, stage)
|
||
if filled_n == 0:
|
||
progress_lines.append(f" {sname}：还没聊到")
|
||
uncovered_stages.append(sname)
|
||
elif filled_n < total_n:
|
||
progress_lines.append(f" {sname}：聊了一些（{filled_n}/{total_n}）")
|
||
else:
|
||
progress_lines.append(f" {sname}：已聊得很充分 ✓")
|
||
progress_str = "\n".join(progress_lines) if progress_lines else ""
|
||
|
||
filled_count = len(filled_slots)
|
||
should_switch_topic = same_topic_turns >= 5 or (
|
||
filled_count >= 3 and same_topic_turns >= 4
|
||
)
|
||
should_lighten_mood = conversation_turn > 0 and conversation_turn % 7 == 0
|
||
should_try_new_stage = filled_count >= 4 and len(empty_slots) <= 1
|
||
|
||
related_stages = STAGE_RELATED_TOPICS.get(current_stage, [])
|
||
related_stages_str = "、".join([stage_name_map.get(s, s) for s in related_stages])
|
||
|
||
emotional = heuristic_likely_emotional(user_message)
|
||
|
||
if persona_block:
|
||
tone_section = f"{persona_block}\n"
|
||
else:
|
||
tone_section = ""
|
||
|
||
followup_trigger_block = """## 什么时候追问、什么时候只承接
|
||
**该追问**（承接后带 1 个具体问题）：
|
||
- 出现**新的人名、新关系、新情节**，上文还没展开过；
|
||
- 用户邀你接话（如「你猜猜」）；
|
||
- 本阶段仍有未聊方向，且对方话里露出可深挖的线头。
|
||
|
||
**可以只承接、不追问**：
|
||
- 本轮几乎无新信息（「嗯」「对」「行」）；
|
||
- 用户明确要结束或换话题；
|
||
- 再问会重复上文已说清的事。
|
||
|
||
**用户在表达情绪时**：先好好接住情绪，让对方感觉被听到、被理解；不急着追问，等情绪有着落后再自然引回。
|
||
"""
|
||
if likely_new:
|
||
followup_trigger_block += (
|
||
"\n**【本轮判定】用户补充了新细节 → 承接后须追问 1 句。**\n"
|
||
)
|
||
if emotional and not likely_new:
|
||
followup_trigger_block += (
|
||
"\n**【本轮判定】用户情绪较浓 → 先好好共情承接，不必急着追问。**\n"
|
||
)
|
||
|
||
memoir_orientation_lines = [
|
||
"## 对话方向",
|
||
"追问与承接**优先服务于人生故事与回忆录素材**，但不要让对方觉得你在走流程。",
|
||
"若用户**明显在闲聊**，以陪聊为主，**不要**用回忆录式问题打断。",
|
||
"若用户一边回忆一边开玩笑，先接情绪，再轻轻带回一个与经历相关的小问题。",
|
||
]
|
||
if likely_chit:
|
||
memoir_orientation_lines.append(
|
||
"**【本轮偏闲聊】** → 以承接与陪聊为主；若用户自然带回经历，再追问。"
|
||
)
|
||
memoir_orientation_block = "\n".join(memoir_orientation_lines) + "\n"
|
||
|
||
memory_section = ""
|
||
mem_trim = (memory_evidence_text or "").strip()
|
||
if mem_trim:
|
||
memory_section = (
|
||
"## 相关记忆摘录（仅供衔接，禁止编造）\n"
|
||
"以下为系统从用户**过往口述**中检索到的摘录，**不是**用户本轮亲口新说的内容。\n"
|
||
"承接时可自然用「你之前提过……」「上次你说到……」等口语，不要把摘录里的细节写成本轮用户新告诉你的事实；禁止编造摘录未出现的内容。\n\n"
|
||
f"{mem_trim}\n\n"
|
||
)
|
||
|
||
dynamic_guidance = ""
|
||
if user_jumped:
|
||
dynamic_guidance += f"""
|
||
- **用户正在聊「{user_stage_name}」的话题，跟着他/她的节奏走，不要试图拉回「{current_stage_name}」**
|
||
- 顺着用户的思路，帮他/她把这个话题聊深聊透
|
||
- 这是很自然的事情，人回忆往事经常会跳跃，你要做的是陪伴和倾听"""
|
||
else:
|
||
if should_lighten_mood:
|
||
dynamic_guidance += "\n- 聊了一会儿了，可以适当轻松一下，聊点有趣的"
|
||
if should_switch_topic and empty_slots_readable:
|
||
if likely_new:
|
||
dynamic_guidance += f"\n- 若用户本轮**刚补充**新细节，请先就这一点追问一句，再自然转到未聊方向：{empty_slots_str}"
|
||
else:
|
||
dynamic_guidance += (
|
||
f"\n- 这个话题聊得差不多了，可以自然转到：{empty_slots_str}"
|
||
)
|
||
if should_try_new_stage and related_stages:
|
||
dynamic_guidance += (
|
||
f"\n- 如果自然的话，可以尝试聊聊相关的话题，比如{related_stages_str}"
|
||
)
|
||
|
||
uncovered_hint = ""
|
||
if not user_jumped and uncovered_stages and should_try_new_stage:
|
||
uncovered_hint = f"\n- 还没聊到的人生阶段有：{'、'.join(uncovered_stages)}，如果聊天中有自然的契机，可以轻轻带一句，但不要刻意"
|
||
|
||
if user_jumped:
|
||
topic_desc = f"你们原本在聊「{current_stage_name}」，但用户自然地聊到了「{user_stage_name}」的内容"
|
||
else:
|
||
topic_desc = f"你们聊到了「{current_stage_name}」这个话题"
|
||
|
||
profile_section = ""
|
||
if user_profile_context:
|
||
profile_section = f"\n## 用户基本信息\n{user_profile_context}\n"
|
||
|
||
active_stage = (
|
||
detected_user_stage if user_jumped and detected_user_stage else current_stage
|
||
)
|
||
era_context = (
|
||
_build_era_context(active_stage, user_profile_context)
|
||
if settings.chat_era_context_enabled
|
||
else ""
|
||
)
|
||
|
||
voice_block = get_background_voice_chat_block(background_voice)
|
||
voice_section = f"\n{voice_block}\n" if voice_block else ""
|
||
intro_line = _guided_voice_intro_line(background_voice)
|
||
|
||
prompt = f"""{intro_line}
|
||
{topic_desc}
|
||
{reply_length_section}
|
||
{profile_section}
|
||
{voice_section}
|
||
## 本阶段已聊
|
||
{filled_slots_str}
|
||
|
||
## 还可聊的方向
|
||
{empty_slots_str}
|
||
|
||
## 进度
|
||
{progress_str}
|
||
{era_context}
|
||
## 用户刚才说
|
||
"{user_message}"
|
||
|
||
{memoir_orientation_block}{memory_section}{followup_trigger_block}
|
||
{tone_section}
|
||
|
||
## 你要做的
|
||
1. **先接住对方**——一句真诚回应，不要写成总结或讲评。
|
||
2. 用户跳到别的人生阶段，跟着聊，别硬拉回。
|
||
3. **最多追问一个**具体、好答的问题（参照上方「什么时候追问」）；无需追问时，只承接就好。
|
||
4. 用户回「嗯」「对」之类，结合上文理解，承接或换个新角度，不要重复上一轮问过的事。
|
||
5. 可用 [SPLIT] 分成**最多 2 条**消息。
|
||
{dynamic_guidance}{uncovered_hint}
|
||
|
||
## 不要做的
|
||
**禁止**输出括号、括号内的策略/舞台说明（例如「（先接住情绪）」「（共情）」）、思考过程或任何元注释——这些只存在于系统指令里，**绝不可**出现在你对用户说的话中；采访腔（「我注意到」「我想了解」）；重复确认对方已经说过或能推断出的信息；编造对方没说的细节。
|
||
|
||
直接输出（仅自然口语，无任何括号前缀或旁白）："""
|
||
|
||
return prompt
|
||
|
||
|
||
# 别名：访谈对话专用；勿与回忆录 `app.agents.memoir.prompts.get_memoir_editor_system_prompt` 混淆
|
||
get_interview_system_prompt = get_system_prompt
|