Kevin
ccdc4e4277
feat(i18n): persist language preference and thread through chat, memoir, TTS
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- 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
Kevin
064ad2161d
refactor(eval+memoir)：精简内部评测路由与服务，composite/对话摘要与 judge 能力补强
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- 访谈：新增 interview_state_hints，联动 orchestrator 与提示词
- 回忆录：story_pipeline_sync/state/memory/post_commit 与 Celery 任务调整
- 基建：开发用 celery broker、compose/development 脚本、依赖注入
- eval-web：移除数据集/实验/版本等页面与流式轮询，突出 Playground
- 文档与单测同步
2026-04-08 21:36:12 +08:00
Kevin
2a0c80987d
test/ 调整prompt，提高共情能力
2026-04-08 17:10:09 +08:00
Kevin
309a051038
feat: 回忆录证据血缘与内部评测可追溯，顺带对齐本地评测台与 CI
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数据库与模型：新增多版迁移（章节证据快照、对话血缘、记忆事实/时间线 lineage 等），把「成稿 ↔ 对话/记忆」的溯源信息落到表结构里。
业务链路：会话与 WS、回忆录/故事流水线、记忆写入与 enrichment 等跟着接上线索与快照；新增章节证据快照与评测侧 EvalTraceService 等模块，方便组评审用的证据包。
内部评测：自动化 run 与手工 memoir 评审共用可追溯证据；rubric/ judge 相关脚本与文档有配套调整。
app-eval-web：Memoir/实验详情里能展开看证据摘要与 evidence_trace（含对话轮次 id）；Vite 代理与 development.sh 注入的 API 端口与当前默认内部评测端口一致，避免改端口后页面连错服务。
工程杂项：GitHub Actions / 仓库说明有更新；各适配器与支付/配额/plan 等多处为小改动或跟随主改动的收尾；新增/扩充了?
2026-04-08 15:37:09 +08:00
Kevin
2fded6fbd9
refactor(chat): AI-native prompts, remove interview heuristics
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- 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.
2026-04-06 22:23:46 +08:00
Kevin
43d1689e9c
feat(api): 统一 LLM JSON 调用层 llm_json_call，按域 Schema 迁移 chat/memoir agents
2026-04-03 13:44:11 +08:00
Kevin
a3f61fcc0f
feat(api+app): 对话阶段化、回忆录流水线与客户端会话体验
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- DB: segments 用户输入文本（Alembic 0002）
- Chat: 阶段检测/阶段提示/回复限制，编排与访谈/画像 prompts 调整
- Memoir: 忠实度检查 agent，叙事与分类等链路更新
- Core: agent 日志、Alembic 启动、LangChain/日志/配置等
- Story: time_hints；Memory 检索与相关测试
- Expo: 助手头像、会话页与消息拆分、实时会话与文案/i18n
- Docs/scripts/tests: 迁移脚本、LLM JSON/记忆检索文档、新增单测
2026-03-26 12:13:36 +08:00
Kevin
c6e07ce5ca
chore/ 删除无用文件
2026-03-19 14:36:40 +08:00
yangshilin
67fb5d2cb6
refactor: 进一步重构agents目录结构 符合多agent架构
2026-03-19 10:54:48 +08:00
