Files
life-echo/api/app/agents/chat/prompt_context.py
Kevin ccdc4e4277 feat(i18n): persist language preference and thread through chat, memoir, TTS
- Add users.language_preference (Alembic 0018, default zh); capture at signup/SMS
  only; expose on auth and profile APIs
- Lite English prompts for chat and memoir; localized stage labels and agent
  names (Life Echo / 岁月知己)
- Tencent TTS: language-aware synthesis, ModelType=1 for 501004, English chunking
- WebSocket pipeline: emit all AGENT_RESPONSE segments when TTS cancels; INFO logs
  for tts_this_turn and TTS decisions; on-demand TTS logging
- Expo: device language on auth, i18n tiers/agent name, [SPLIT] streaming UX fixes
- Tests for migration, prompts, pipeline, router tts_this_turn, reply segments

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-11 16:16:49 +08:00

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"""Bundled parameters for chat system prompts (InterviewAgent)."""
from __future__ import annotations
from dataclasses import dataclass
from typing import Dict, List, Optional
from app.agents.chat.interview_turn_plan import InterviewTurnPlan
from app.agents.state_schema import KnownFact, PersonaThread
@dataclass
class ChatPromptContext:
"""访谈轮次构建 `get_guided_conversation_prompt` 所需的字段集合。"""
current_stage: str
empty_slots: List[str]
filled_slots: Dict[str, str]
all_stages_coverage: Optional[Dict[str, Dict]] = None
detected_user_stage: str = ""
user_profile_context: str = ""
persona: str = "default"
memory_evidence_text: str = ""
background_voice: str = "default"
occupation: str = ""
profile_birth_year: int | None = None
profile_era_place: str = ""
known_facts: List[KnownFact] | None = None
persona_threads: List[PersonaThread] | None = None
recent_questions: List[str] | None = None
turn_plan: InterviewTurnPlan | None = None
language: str = "zh"
def guided_system_prompt(self) -> str:
"""用户原话仅以对话历史 + HumanMessage 注入模型。
本轮模式硬指令统一由 `InterviewTurnPlan.render_system_directive()` 产出,
主 prompt 不得重复立法(见 interview_turn_plan 模块 docstring
"""
from app.agents.chat.prompts_conversation import get_guided_conversation_prompt
directive = (
self.turn_plan.render_system_directive()
if self.turn_plan is not None
else ""
)
return get_guided_conversation_prompt(
current_stage=self.current_stage,
empty_slots=self.empty_slots,
filled_slots=self.filled_slots,
all_stages_coverage=self.all_stages_coverage,
detected_user_stage=self.detected_user_stage,
user_profile_context=self.user_profile_context,
persona=self.persona,
memory_evidence_text=self.memory_evidence_text,
background_voice=self.background_voice,
occupation=self.occupation,
profile_birth_year=self.profile_birth_year,
profile_era_place=self.profile_era_place,
known_facts=self.known_facts or [],
persona_threads=self.persona_threads or [],
recent_questions=self.recent_questions or [],
turn_directive_block=directive,
language=self.language,
)