kevin/life-echo
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
385 Commits 1 Branch 0 Tags
55cfbc7f809c66ae8cb5c6f3a8adf142b45cb960
Commit Graph

23 Commits

Author SHA1 Message Date
Claude
55cfbc7f80 feat: agent proactively re-engages users on returning sessions 
Two complementary changes to reduce conversation cold-start friction:

A. Returning-user re-greeting (backend)
- When WS reconnects to a non-empty conversation and last_message_at is older
  than chat_re_greeting_idle_hours (default 6h), the agent emits a warm
  continuation message that references prior history instead of staying silent.
- Self-debouncing: the AI message updates last_message_at, so reconnects
  within the window will not re-trigger.
- Skipped while profile collection is still pending.

D. Topic suggestion chips (backend + Expo)
- New WS message type topic_suggestions carries 3-4 quick-start chips derived
  from the current memoir stage's empty slots (deterministic, no extra LLM
  cost). Sent alongside opening / re-greeting / resume.
- Expo chat screen renders a horizontally-scrollable chip row above the input
  bar; tapping a chip sends the chip's text as a user message and clears the
  row. Sending any text/voice also clears the chips.
 2026-05-07 15:39:33 +00:00
Kevin
71fbd39e32 feat(api)!: memory single chain — async MemoryService, strict eval closure 
Route all memory ingest/retrieve/enrichment/compaction through async MemoryService.
Remove legacy sync memory implementations (ingest/retrieve/compaction); Celery and
memoir Phase2 call asyncio.run into MemoryService-backed helpers.

Memoir Phase1 batch ingest uses MemoryService.ingest_transcripts_batch; drop chapters.
evidence_bundle_json mirror (Alembic 0015). Evaluation uses snapshot/link-only bundles;
raise EvidenceClosureMissing instead of partial/fallback lineage tiers.

Split memoir state into NarrativeCoverageState and InterviewControlState; delete the
_interview_meta_store adapter layer. Remove rolling-query and recent-fact fallback
settings from config and evidence assembly.

Update judges, docs, tests, and PlaygroundPage alignment.

Made-with: Cursor
 2026-04-30 14:11:50 +08:00
Kevin
ac436b87a2 feat(api): 收敛对话与记忆流程边界，引入 LLM 网关与专用服务 
- MemoryService 异步路径委托 MemoryIngestService / MemoryRetrievalService；富化派发经 MemoryEnrichmentScheduler
- WebSocket pipeline 经 ChatTurnService 与显式 DTO 编排单轮对话；回忆录片段入队由 MemoirIngestScheduler 封装
- 新增 LlmGateway（LlmUseCase），各 agent、任务与适配器对齐 ports
- 补充 memory 提示适配、runtime 类型、memory-retrieval 文档、ai-touchpoints 说明与扫描脚本及配套测试

Made-with: Cursor
 2026-04-30 09:17:01 +08:00
Kevin
3121d1384d WIP: memory system improvements (in progress) 
Interview/chat prompt layers, reply planner, style profiles, memory
injection, interview meta store, and related tests. Work not finished.

Made-with: Cursor
 2026-04-22 16:56:28 +08:00
Kevin
ccf7125473 fix(chat): 重复追问被拦截时再多问一次模型 
防重复问句会把整段回复削成「这一段我记住了。」只剩一句套话时，用带纠偏说明的 system 再调一次 LLM，尽量避免用户只看到干巴巴_ack。仍只重试一次，并打日志与 meta 标记 duplicate_question_guard_llm_retry。
 2026-04-10 15:35:34 +08:00
Kevin
5ff495729e feat(chat): server-side interview turn plan (mode, anchor slot, snippet) 
- Add plan_interview_turn: emotion_first / memoir_push / follow_user_only
- Inject hard directive block at top of guided system prompt
- Pass stage_switched_this_turn from ChatOrchestrator after stage detection
- Log interview_turn_plan for observability; add unit tests
 2026-04-10 14:34:38 +08:00
Kevin
df6eafeae2 feat(chat): host-style memoir prompts and strip parenthetical stage directions 
- Add strip_parenthetical_asides_for_chat in reply pipeline before [SPLIT]
- Expand output_rules bans (performance parens) and voice as warm host
- Refocus opening/guided prompts on pulling conversation toward memoir oral history
- Align interview opening fallbacks with memoir-first tone
- Add unit tests for parenthetical stripping
 2026-04-10 13:55:56 +08:00
yangshilin
e1341c6d18 feat: 
1. 建立问题库大纲，对应每个人生阶段槽位
2. 鼓励使用更生活化的交流语言共情与总结
3. 降低评审模型可能发生截断的概率
4. 成稿质量维度强化情感表达和上下文连贯性
 2026-04-09 15:32:35 +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 
- 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 
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 
- 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
4cfa3843a7 chore/ 精简展示AI活动的日志 2026-04-03 13:49:24 +08:00
Kevin
bb16d3a5c9 refactor(agents): 抽取阶段常量与对话上下文；快档 LLM；图片 prompt 可禁止回退 
访谈与阶段
- 新增 app/agents/stage_constants.py：集中 CHAT_STAGES、章节分类/顺序、阶段到默认 memoir 类别等，与 MemoirState 默认槽位顺序对齐；减少散落在 prompts 内的重复常量。
- 新增 app/agents/chat/prompt_context.py：以 ChatPromptContext 汇总 guided 系统提示所需字段（阶段、槽位、轮次、人设、记忆证据、回复长度模式、背景声线、职业等），统一走 get_guided_conversation_prompt。
- 大幅收敛 app/agents/chat/prompts_conversation.py；调整 prompts.py、stage_prompts.py、stage_detection.py；同步 interview_agent、profile_agent、helpers 与 state_schema，使对话侧构造提示的方式一致、可测。

回忆录流水线
- memoir/prompts.py 删除已迁至 stage_constants / 独立模板的大段常量与图片占位相关逻辑；classification / extraction / fidelity / narrative agents 与 orchest（全量历史仍可用于计数，注入模型时按轮次与字符上限截断）、image_prompt_fallback_disabled。
- dependencies 增加 get_llm_provider_fast（LRU 缓存，可与默认共用密钥与 base_url）。

任务与编排
- memoir_tasks：prepare_batches 注入 llm_fast；开启独立快档模型时打结构化日志。
- chapter_cover_tasks、story_image_tasks：与图片 prompt / JSON 工具路径或策略变更对齐（import 与行为一致）。
- story_pipeline_sync 等小处同步。

其它核心
- langchain_llm、text_normalize 随上述调用链微调。

开发者体验
- .cursor/settings.json：启用 redis-development、postman 插件。

测试
- 新增 test_image_prompt_policy：覆盖「禁止回退」等图片 prompt 策略。
- 更新 test_interview_prompts、test_interview_reply_length、test_experience_regressions、test_json_and_memory_utils，匹配新常量位置、json_utils 与对话/长度行为。
 2026-04-02 12:00:00 +08:00
Kevin
53d9e003af feat(api): 叙事 prompt、职业上下文、读路径章节、WS 解耦与错误脱敏 
- 回忆录：事实边界补充允许清单；传记文体示例与 JSON 叙事要求对齐
- default 职业提示 occupation_context；cadre/military 退休语境
- GET 章节读路径零写入，prepare_chapter_read_view + markdown_for_response
- 文本归一抽到 core/text_normalize；移除弃用 reply 策略与 recompose_chapters_for_story
- ConversationService：WS 连接/用户段落/结束对话；对外错误固定文案
- 测试：HTTP 脱敏契约、章节读视图、occupation 与 background_voice
 2026-04-01 11:55:52 +08:00
Kevin
69a673e6c6 feat(api): 访谈人格/回复长度策略、口述归一、背景语气与输入净稿全链路 
Chat 访谈
- 新增 persona 系统（default / warm_listener / curious_guide）与 background_voice 语气层
- 回复长度由 compute_reply_plan 统一决策（brief / standard / expanded），融合信息密度启发式
- 输入净稿（input_normalize）：编排层可选 rules/llm 归一用户口语后再喂模型与记忆检索
- 记忆证据注入：按用户话检索 memory evidence 并注入 prompt

Memoir 回忆录
- 口述归一（oral_normalize）：segment 原文保留，story 管线取派生净稿作叙事输入
- segment 入队批次门闸：累计字数 + 最长等待秒数，减少零碎提交
- fidelity_check / prompts / narrative_agent 微调
- Alembic 0005：清理跨章节 story 外键

Infra
- Dockerfile 加入 ffmpeg
- pyproject.toml 新增依赖并同步 uv.lock
- .env.example / .env.production 补全新配置项

Tests
- 新增 test_background_voice、test_chat_input_normalize、test_experience_regressions
- 扩展 test_interview_prompts、test_interview_reply_length、test_story_route_oral_invariant

Made-with: Cursor
 2026-03-31 23:55:26 +08:00
Kevin
e4bf0710c7 feat(memory,conversation): 记忆富化/证据包、时间线幂等字段与对话分段全链路 
数据库
- 新增迁移 0003：timeline_events.memory_source_id 外键 → memory_sources，便于按 ingest 源做时间线幂等

后端 - 记忆
- 新增 ingest 后 LLM 富化（摘要/事实/时间线），可配置开关与最大字符数
- 新增证据包组装：合并 chunk、摘要、事实、时间线、故事等检索结果；支持空 query 时是否仍带 rolling 等开关
- repo/retriever/service/router/schemas/summarizer/timeline/extractor 等扩展；文档 memory-retrieval.md 更新

后端 - 对话 WS
- 增加 PING/PONG；分段 ASR 日志与空音频处理；转写失败与「无助手回复」错误提示更明确
- 助手多段回复持久化使用统一分隔符，与分段逻辑一致

后端 - Agent
- reply_limits：按 [SPLIT] 与段落拆段，并保证非空 fallback，供 WS 与 TTS 多段下发

后端 - 回忆录任务
- transcript ingest 记录 source_id；任务成功结?
 2026-03-27 16:24:43 +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 
- 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
70070216c4 修复一些已知问题 2026-03-20 17:25:42 +08:00
Kevin
7317bf10cd fix/various fixes 2026-03-20 15:15:35 +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
yangshilin
b16bb2b96c feat & refactor: 重构agents目录结构；AI回复模块agent结构封装 2026-03-19 10:36:55 +08:00