refactor(chat): AI-native prompts, remove interview heuristics

- Drop interview_reply_length and utterance_substance; always run stage LLM
  and memory retrieval when enabled; trim Settings fields and .env.example.
- Replace guided/opening prompts with compact fact blocks plus unified
  behavior guidance; slim background_voice and persona to tone hints.
- InterviewAgent uses fixed chat_interview max_tokens/chars/segments.

Also includes stacked work: profile followup/extract path, evaluation rubric
and judge schema updates, transcript SPLIT handling in execution service,
user export markdown split tests, and golden case fixture.
This commit is contained in:
Kevin
2026-04-06 22:22:50 +08:00
parent ca8bcc8489
commit 2fded6fbd9
27 changed files with 426 additions and 1349 deletions

View File

@@ -1,4 +1,4 @@
"""访谈提示词:追问触发与性格Persona拼接回归。"""
"""访谈提示词:精简结构与人格/语气融合回归。"""
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
@@ -10,37 +10,51 @@ from app.agents.chat.prompts_conversation import (
)
def test_guided_prompt_contains_mandatory_followup_when_heuristic_matches():
p = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place", "people"],
filled_slots={},
user_message="厉害吧 那个女生叫娟娟",
conversation_turn_total=1,
same_topic_turns=1,
all_stages_coverage=None,
detected_user_stage="childhood",
user_profile_context="",
persona="default",
)
assert "本轮追问判定" in p
assert "本轮判定" in p
def test_guided_prompt_does_not_embed_raw_user_message_in_system_text():
p = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place"],
filled_slots={},
user_message="__USER_SECRET_PHRASE_XYZ__",
conversation_turn_total=0,
same_topic_turns=0,
all_stages_coverage=None,
detected_user_stage="childhood",
user_profile_context="",
persona="default",
)
assert "__USER_SECRET_PHRASE_XYZ__" not in p
# Signature no longer takes user_message; secret would only leak via profile
p2 = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place"],
filled_slots={},
detected_user_stage="childhood",
user_profile_context="__USER_SECRET_PROFILE__",
persona="default",
)
assert "__USER_SECRET_PROFILE__" in p2
def test_guided_prompt_mentions_empathy_and_self_judgment():
p = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place"],
filled_slots={},
detected_user_stage="childhood",
user_profile_context="",
persona="default",
)
assert "接住对方" in p
assert "你自己判断" in p or "该追问" in p
def test_guided_prompt_persona_tone_warm_listener():
p = get_guided_conversation_prompt(
current_stage="education",
empty_slots=["school"],
filled_slots={},
detected_user_stage="education",
user_profile_context="",
persona="warm_listener",
)
assert "倾听" in p or "柔和" in p
def test_guided_prompt_persona_curious_guide():
@@ -48,15 +62,11 @@ def test_guided_prompt_persona_curious_guide():
current_stage="education",
empty_slots=["school"],
filled_slots={},
user_message="还行吧",
conversation_turn_total=0,
same_topic_turns=0,
all_stages_coverage=None,
detected_user_stage="education",
user_profile_context="",
persona="curious_guide",
)
assert "好奇引导" in p
assert "细节" in p
def test_normalize_interview_persona_unknown_falls_back():
@@ -64,32 +74,11 @@ def test_normalize_interview_persona_unknown_falls_back():
assert normalize_interview_persona("") == "default"
def test_guided_prompt_contains_memoir_orientation():
p = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place"],
filled_slots={},
user_message="后来我就去上班了",
conversation_turn_total=0,
same_topic_turns=0,
all_stages_coverage=None,
detected_user_stage="childhood",
user_profile_context="",
persona="default",
)
assert "对话方向" in p
assert "人生故事" in p
def test_guided_prompt_contains_memory_section_when_evidence():
p = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place"],
filled_slots={},
user_message="后来我就去上班了",
conversation_turn_total=0,
same_topic_turns=0,
all_stages_coverage=None,
detected_user_stage="childhood",
user_profile_context="",
persona="default",
@@ -100,75 +89,17 @@ def test_guided_prompt_contains_memory_section_when_evidence():
assert "1990年生于上海" in p
def test_guided_prompt_chit_chat_hint():
def test_guided_prompt_military_tone_in_system():
p = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place"],
filled_slots={},
user_message="今天天气真好哈哈",
conversation_turn_total=0,
same_topic_turns=0,
all_stages_coverage=None,
detected_user_stage="childhood",
user_profile_context="",
persona="default",
)
assert "偏闲聊" in p
def test_guided_prompt_reply_length_section_explicit_expanded():
p = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place"],
filled_slots={},
user_message="还行吧",
conversation_turn_total=0,
same_topic_turns=0,
all_stages_coverage=None,
detected_user_stage="childhood",
user_profile_context="",
persona="default",
reply_length_mode="expanded",
)
assert "本轮回复长度" in p
assert "当前档位expanded" in p
assert "expanded" in p
def test_guided_prompt_reply_length_explicit_brief():
"""档位由 Agent 的 ReplyPlan 传入prompt 不再自行推导。"""
p = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place"],
filled_slots={},
user_message="",
conversation_turn_total=0,
same_topic_turns=0,
all_stages_coverage=None,
detected_user_stage="childhood",
user_profile_context="",
persona="default",
reply_length_mode="brief",
)
assert "当前档位brief" in p
def test_guided_prompt_background_voice_military() -> None:
p = get_guided_conversation_prompt(
current_stage="childhood",
empty_slots=["place"],
filled_slots={},
user_message="后来我就去上班了",
conversation_turn_total=0,
same_topic_turns=0,
all_stages_coverage=None,
detected_user_stage="childhood",
user_profile_context="",
persona="default",
background_voice="military",
)
assert "背景语气:军队语境" in p
assert "先接住对方" in p
assert "简洁" in p or "利落" in p or "得体" in p
def test_opening_prompt_military_has_examples_note() -> None:
@@ -180,11 +111,9 @@ def test_opening_prompt_military_has_examples_note() -> None:
background_voice="military",
)
assert "军队语境" in p
assert "(军队语境:简洁" in p or "军队语境" in p
def test_format_history_string_includes_system_for_debug_logs() -> None:
"""log_agent_payload 依赖本函数时需包含 System避免生产上丢失主 system prompt。"""
s = format_history_string(
[
SystemMessage(content="SYS_INSTRUCTIONS"),