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QQ 群消息并使用LLM总结，提取金句和高光对话","maintainers":[{"name":"moehuhu","email":"994458697@qq.com"}],"readme":"# koishi-plugin-qq-group-to-llm\n\n[![npm](https://img.shields.io/npm/v/koishi-plugin-qq-group-to-llm?style=flat-square)](https://www.npmjs.com/package/koishi-plugin-qq-group-to-llm)\n\n记录群消息，并接入 LLM 做群聊分析：话题总结、金句、高光对话、自由问答、用户画像，结果可以直接出图。\n\n## 功能\n\n- **消息记录**：监听群消息写入 `qq_group_messages` 表，元素序列化为纯文本（图片/视频地址是否留存可配置，引用会带上被回复者的昵称与原话，合并转发压成一行一句），同时留存发言者昵称；头像另按人存进 `qq_group_avatars` 映射表，一人一行\n- **群聊分析**：`群分析` 出一份报告——热门话题、金句、活跃榜、24 小时活跃时段柱状图\n- **高光对话**：`高光对话` 单独截取带学术要素的冷幽默对话片段，通栏聊天气泡排版\n- **自由问答**：`群分析 <问题>` 就近期记录提问，只依据记录作答\n- **用户画像**：`用户画像` 跨群汇总某人的发言生成画像，每次都基于最新发言重新生成\n- **图片输出**：三条命令都能渲染成排版好的图片发送（puppeteer），关掉或渲染失败自动回退为文字\n- **用户屏蔽**：群分析 / 金句 / 高光对话 / 用户画像各有一份独立的屏蔽名单\n- **时区可配**：`timezone` 统一决定分桶、展示与投喂给模型的时间戳\n- **定期清理**：按 `retentionDays` 删除过期消息，0 为永久保留；头像映射表不跟着删，人还在头像就还在\n\n## 快速开始\n\n1. 装好数据库插件（任意 Koishi 支持的驱动）；`database` 与 `http` 是必需服务，`puppeteer` 可选，用于出图。\n2. 在「LLM 接口」一节的 `llmModels` 命名模型列表里至少填一个模型（端点、API Key、模型名），任何兼容 OpenAI `/chat/completions` 的厂商都行。想让不同任务用不同模型，再多加几个模型并在各任务里指定，见「LLM 接入」。\n3. 默认 `listenAll` 开着，插件会记录所有群的消息。攒够 `minMessages`（默认 20）条之后，在群里发 `群分析`。\n\n没配 API Key 时插件照常记录消息，只是分析类命令用不了，启动日志里会点出来。\n\n## 命令\n\n```\n群分析                        # 分析最近 1 天，出一份报告（别名 group-analysis）\n群分析 -d 3                   # 改成最近 3 天（1–7）\n群分析 -n 200                 # 只分析最近的 200 条消息（超上限按上限处理）\n群分析 今天聊了什么部署的事    # 带参数即转为自由问答，只依据记录作答\n群分析 -f                     # 忽略缓存重新分析\n群分析 -g <频道 ID>            # 私聊里指定目标频道\n\n高光对话                      # 截取高光对话（别名 highlight）\n高光对话 5                    # 本次最多截 5 段，不写回配置\n高光对话 -n 200               # 只从最近的 200 条消息里找（超上限按上限处理）\n高光对话 -d 3 -f              # 最近 3 天，忽略缓存\n\n用户画像                      # 看自己的画像（别名 user-persona）\n用户画像 @某人                # 看他人，需要 personaViewAuthority 权限\n用户画像 -f                   # 忽略缓存重新生成\n```\n\n## 消息记录\n\n监听 `message` 事件，把符合条件的消息写进 `qq_group_messages` 表。\n\n- **范围**：`listenAll` 开着就记录所有群；关掉则只记 `groups` 列表里的，格式 `平台:频道 ID`，两段都可以留空当通配。私聊不记，bot 自己发的不记。\n- **序列化**：消息元素拍平成纯文本。媒体统一是 `[图片]` / `[视频]` / `[语音]` / `[文件]` 这一套占位符，图片与视频按 `recordImages` 带上地址（`[图片](地址)`），语音、文件只留类型；提及与引用见下面两条；表情见下一节；其余元素退化成 `[类型]`。\n- **适配器漏掉的附件会补回来**：adapter-qq-crack 转图片时按 `content_type.startsWith('image')` 认，转视频和语音却要求 content_type **精确等于** `'video'` / `'voice'`——而 QQ 下发的是 MIME（`video/mp4`、`audio/amr`），那两个分支等于死代码。于是一条纯视频消息在 `session.elements` 里一个元素都不剩，正文也是空的，落库就是一条什么都没有的空记录。\n  所以从平台原始载荷（`session.event._data`，适配器 `setInternal` 挂上去的）里按地址比对补一遍：已经转成元素的不补第二遍，哪天适配器修好了这里自然不再出手。别的平台形状对不上就是空数组，什么都不补。\n- **解析不出内容的消息不入库**：空记录白占一条条数、把人均字数往下拉，投喂给模型的文本里还留一行没有内容的发言。跳过时打一条 `warn`（带元素类型与原始附件数），好让下一种没人认得的消息类型露出来。\n- **提及**：@ 别人存成 `[@张三]`，@全体成员存成 `[@全体成员]`，@ 到 bot 自己的存成 bot 的昵称。\n\n  名字**连着 @ 一起包在方括号里**，跟 `[引用 昵称]` 是同一个道理——渲染那边要断得出边界。只写 `@张三` 的话，遇上「@张三你看看」这种紧接着说下去的（群里最常见的写法）就分不清哪一截是名字：@ 后面没有收尾符号，名字有多长全靠猜。\n\n  麻烦在于 QQ 的 at 元素上**只有一个 openid，没有名字**。名字按四条来路依次找：元素自带的 `name`（别的平台的适配器会一并给上）→ 平台原始载荷的 `mentions` 列表按 id 对上 → @ 的是 bot 自己（adapter-qq-crack 会把 bot 的 at 改写成 `selfId`，而 `mentions` 里记的是 bot 的 openid，两边对不上，得单拎出来认）→ 先前记下的名字。\n\n  最后那条来路是一本跟着插件走的名册（`平台:用户 ID` → 昵称，上限 2000 人，满了先扔最久没露面的，卸载即丢）：每见到一个名字就记下来。被引用的那条、转发卡片里的那几条，它们的 at 不在当前这份 `mentions` 里，只有靠名册才认得出是谁。\n\n  四条都落空才退成 `[@某人]`——**不把 ID 填进去**：QQ 给的是三十多位的 openid，摆在正文里既不是人话，出图时还能撑破一行；它和记录里的昵称也对不上，模型拿它接不到任何一个人身上，纯是白烧 token。\n\n  早先 at 元素没人认，落到序列化的兜底分支存成一个光秃秃的 `[at]`——@ 的是谁没了不说，这三个字母混在中文正文里，模型也读不出它是一次提及。历史记录在读取时就地换成 `[@某人]`；两侧贴着字母、数字、点号的不认（`zhang[at]qq.com` 是群里躲爬虫的邮箱写法，不是提及）。\n\n  出图时提及排成一枚淡靛标签，字号跟着它落在的那一处走（气泡、引用条、转发卡片三处正文的字号各不相同）。\n- **引用**：回复别人的消息，被引用的那条会压成正文首行 `[引用 昵称] 原话`，正文接在第二行起。\n  引用元素到了 QQ 适配器手里往往只是个带 messageId 的空壳，所以原话取自 `session.quote`——只看元素的话，回的是谁、回的是哪句就全丢了，模型读到的一来一回也接不上。\n  原话压成一行并截到 60 字（被引用的那条自己也在库里，不必抄第二份），昵称截到 24 字并剔掉方括号与换行，免得破掉 `[引用 昵称]` 这对边界。关掉 `recordQuotes` 就只留一个 `[引用]`。出图时这一行渲染成正文上方的引用条。\n- **合并转发**：QQ 的「群聊的聊天记录」不是结构化数据，而是平台自己排好版的一整块文本。纯文字的那条是 `[消息内容]` + `[发送者]`；带图的那条**没有 `[消息内容]`**，图挂在 `[附件N]` 上，字段顺序还反过来：\n\n  ```\n  === 消息 2 ===\n  [发送者] 李四\n  [附件1] 类型:图片 文件名:x.jpg 尺寸:1920x864 大小:72.2KB URL:https://…\n  ```\n\n  一条转发四五行里只有一两行是人说的话：喂给模型是白烧 token，出图是一堆 `=== 消息 N ===` 和文件名尺寸糊在气泡里，发文字更惨——markdown 出口会把换行压成空格，整块挤成一长条。\n  所以入库前就压成一行一句、谁说的写在前面，附件换成正文里通用的占位符（原话一个字不动，只是去掉排版行、把发送者提到前面）：\n\n  ```\n  [群聊的聊天记录]\n  张三: 你好\n  李四: [图片](https://…)\n  ```\n\n  只有图片带地址——出图时它能换成真正的图片，别的类型（`[视频]` / `[语音]` / `[文件]` / `[附件]`）给了地址也渲染不出来，白白在正文里留一串两百多字符的 URL；文件名、尺寸、大小一律丢掉。图片地址是否留存跟 `recordImages` 走。\n  出图时这块渲染成一张两列的记录卡片，名字与正文各占一列对齐，图片按缩略图排（一条转发裹着七八张图，按气泡里的尺寸排下来能顶半页），超过 8 条折成「还有 N 条」。\n- **多层转发**：转发是能套娃的——里头的某一条本身又是一整份聊天记录。两种分隔行各管一层：`=== 消息 N ===` 和 `--- 第N条 ---`，谁先出现谁是外层，另一种就是里层（不写死谁是外层：引用回来的转发用的就是 `--- 第N条 ---` 打头）。里层的内容整段不收，只留一个缩略标题，条数取里层分隔行上的最大序号：\n\n  ```\n  [群聊的聊天记录]\n  张三: [群聊的聊天记录 4 条]\n  张三: [群聊的聊天记录 4 条]\n  ```\n\n  不折叠的话，一份四层套娃展开就是几十行图片平铺在外层列表里，既看不出层次，也把报告和提示词撑爆。出图时这个标题排成一枚标签，跟正文区分开。\n- **单条形态**：没有标题也没有分隔行、整段只是一条消息的排版树时，只留正文与附件。引用回来的那条就长这样——适配器会把 `[发送者] 某某` 一起漏进引用内容里，图片消息则只剩一行 `[附件1]`；是谁说的，引用预览已经从 `session.quote` 拿到了，不必再抄一遍。\n- **一起留存的还有发言者昵称**——事后渲染时人可能已经退群，平台接口未必还查得到。\n- **头像单独存一张表**：`qq_group_avatars` 一人一行（`平台:用户 ID` → 昵称 + 头像地址 + 更新时间），见「头像映射表」。消息行里的 `avatar` 列只留着读升级前的老记录，新记录恒为空串。\n- **保留期**：`retentionDays` 天，`0`（默认）为永久保留。启用后每 6 小时清一次过期记录。\n\n画像结果另存在 `qq_group_personas` 表，见「用户画像」。\n\n## 表情与图片的还原\n\n平台塞在正文里、适配器没解析掉的内联表情标记会被**还原成它显示的名字**。QQ 的表情在正文里长这样：\n\n```\n<faceType=4,faceId=\"\",ext=\"eyJ0ZXh0IjoiW+Wuieivpl0ifQ==\">\n```\n\n`ext` 是一段 base64，解出来是 `{\"text\":\"[安详]\"}`——正是这个表情在 QQ 里显示的名字，于是它被还原成 `[安详]`。官方适配器会把这段拆成 emoji 元素，有的第三方适配器则直接把整段 content 塞进一个文本元素，标记就原样留在正文里了；两种形式都认。\n\n`faceType=6`（动画表情 / 超级 QQ 秀 / GIF）是例外：图本身在 attachments 里，适配器已经单独给过一个图片元素，再还原一次就是重复的两份，所以只把标记删掉。缺 `ext` 的简写 `<faceType=6>`、`ext` 解不出名字的，同样直接删掉。\n\n还原在**入库时**和**读取时**各做一次：前者让新记录干净，后者顺带覆盖历史记录，两头都堵上后渲染和提示词都不用各处理一遍；渲染层另有一道兜底，防模型把残标记原样抄回结果。合并转发的压平挂在同一条路上（`cleanContent` = 还原残标记 + 压平转发），所以历史记录读出来也就地跟上，重复跑是空转。\n\n图片则在出图时还原成真正的图片：`[图片](地址)` 占位符换成 `<img>`，不做这一步的话群里发的图在报告里就是一行扎眼的 `[图片](https://...)` 原文。连续的图片并成一个块级容器自成一行——图片留在文字行里会把行高撑得老高，前后的文字被挤成上下两截。图链失效（QQ 的图片地址会过期）时退回一枚「图片」小标签，不会只剩一块空白；地址只放行 http(s)。\n\n视频画成一块带播放标记的占位块，**不放 `<video>`**：截图跑在 puppeteer 里，视频既不解码也不会停在第一帧，拿到的就是一块黑；QQ 的地址还几分钟就过期，等于给报告留一块必然失效的空白。播放三角用 CSS 边框画，不写 `▶` 字符——没装 emoji 字体的机器上那会变成方框。地址照旧留在记录里，只是不参与渲染。语音、文件没什么可展示的，当普通文字排。\n合并转发另起一张两列卡片（标题 + `名字 | 正文`），超过 8 条折成「还有 N 条」——转发几十条的截图会长得没法看。高光对话的气泡、报告里的金句、画像的代表发言都走这套。\n\n## 投喂给模型的对话文本\n\n消息以 JSON 数组字符串投喂给模型，每条消息是一个独立对象，字段天然分隔，不再靠行首标记或缩进区分归属：\n\n```json\n[\n  {\n    \"time\": \"10:22:28\",\n    \"sender\": \"张三\",\n    \"content\": \"[群聊的聊天记录]\\n李四: 你好\\n王五: 我这有个多行的\\n第二行\"\n  },\n  {\n    \"time\": \"10:22:39\",\n    \"sender\": \"张三\",\n    \"content\": \"下一条\"\n  }\n]\n```\n\n- `time` 是发言时间戳（群分析等用时分秒；用户画像用年月日时分秒）\n- `sender` 是发送者昵称，昵称缺失时回落为用户 ID\n- `content` 是发言原文，正文多行时以 `\\n` 转义拼进同一个字符串——JSON 字符串天然区分边界，合并转发的多行内容不会再被误认成别人的发言\n- 高光对话额外带 `uid` 字段（发言人在头像映射表里的短编号，形如 `u1`），与 `sender` 并存；模型把编号原样抄回来，出图前再由插件换成真正的头像地址——地址一次都不进提示词，见「头像映射表」\n- 用户画像额外带 `scope` 归属字段（`群:xxx` / `频道:xxx`），模型据此判断每句的归属\n\n排版只改结构，正文一字不增删。\n\n## 头像映射表\n\n头像地址长得离谱——QQ 官方平台的形态是 `https://q.qlogo.cn/qqapp/<appid>/<openid>/640`，七八十个字符。它有两个用处：出图时贴在气泡和活跃榜上；以及高光对话得让模型指认出每轮是谁说的。两处都曾直接用地址，代价是同一串 URL 在库里、在提示词里反复重复。\n\n现在改成一人一行存进 `qq_group_avatars`（`平台:用户 ID` → 昵称 + 地址 + 更新时间），两头都只走编号：\n\n- **落库**：`recorder` 每收到一条消息就比对内存里的缓存（上限 2000 人，卸载即丢），新面孔、换了头像或改了昵称才 `upsert` 一次，其余情况一次库都不写。消息行不再带地址。\n- **投喂**：分析开始时按这批消息里出现过的人查一次表，建一张本次专用的映射表，给每个有头像的人发一个短编号 `u1`、`u2`……每条消息在 `sender` 昵称之外多带这一个编号，地址一个字符都不进上下文。昵称照常给，模型写标题和理由时直接用昵称。\n- **还原**：模型抄回编号，出图前换成地址，昵称也按编号校正一次（模型偶尔抄错字）；`title` / `reason` 正文里若仍夹带编号，一并换回昵称兜底。编号、用户 ID、完整地址、昵称都认——模型漏抄编号时会拿它抄回的昵称在表里再找一次，同名多人的昵称**故意不认**（各有各的脸，认错不如退回首字色块）。改过提示词、仍让模型直接抄 `avatar` 地址的老配置照旧能解析。\n\n省下多少与群里的人数无关，只跟条数有关：一份 500 条的记录，头像地址原先要占一万多字符，现在是 500 个 `u1` 级别的编号加一张不进提示词的表。每次抽取的日志里会写明这一行：`头像映射表 N 人（头像地址不进提示词，省下约 X 字）`。\n\n编号只在单次请求内有效——它按本批消息里的首次露面顺序分配，下一次分析同一个人可能是别的编号，别把它当稳定标识存到别处。\n\n`retentionDays` 的清理只删消息，不动这张表：人还在群里，脸就还该在。表的行数上限就是这个 bot 见过的人数，一行不过百余字节。升级前落的老记录里仍带着发言当时的地址，映射表里查不到人时拿它兜底，不必迁移。\n\n## LLM 接入\n\n走 OpenAI 兼容的 `/chat/completions` 接口。结构化结果要求模型返回 markdown 代码块里的 JSON；四段提示词模板（群分析 / 高光对话 / 问答 / 用户画像）都能在配置的「提示词」一节改写。群分析的 `promptTopic` 在同一次请求里同时产出话题与金句，返回结构是包含 `topics` 与 `quotes` 两个数组的对象（默认模板里写明了每一段的字段）。\n\n**模型只能通过命名模型列表配置**：在「LLM 接口」一节的 `llmModels` 里定义若干模型，每个都填自己的端点、key、模型名、温度与并发数 `concurrency`（支持任意兼容 OpenAI 接口的厂商），再把「群分析（话题与金句）/ 高光对话 / 群聊问答 / 用户画像」各自的「模型」填成对应的模型 id 即可。比如让画像用贵一点的大模型、群分析与问答用便宜快的小模型：\n\n```yaml\nllmModels:\n  - id: cheap\n    endpoint: https://api.openai.com/v1\n    apiKey: sk-xxxx\n    model: gpt-4o-mini\n    temperature: 1\n    concurrency: 4\n  - id: fancy\n    endpoint: https://other-vendor.example/v1\n    apiKey: sk-yyyy\n    model: some-big-model\n    temperature: 0.7\n    concurrency: 1\nllmModelTopic: cheap\nllmModelQuery: cheap\nllmModelUserPersona: fancy\nllmModelHighlightDialogues: cheap\n```\n\n任务的「模型」留空或填了不存在的 id 时，回落到 `llmModels` 里的第一个，并打一条警告。只填一个模型就能让所有任务共用它，不必多配。\n\n**每个模型单独设并发数**：命名模型的 `concurrency` 字段只约束该模型自己，各模型的闸门互不相干——不同厂商对并发的限制不一样，想让便宜模型多跑几个、贵的模型少打几个，就在各自那行单独填（见上面示例里的 `concurrency: 4` 与 `concurrency: 1`）。\n\n**默认走流式**（`llmStream`）。非流式时服务端要等整段生成完才发响应头，提示词一长就会撞上 undici 那 5 分钟的 `headersTimeout`，抛一个 `UND_ERR_HEADERS_TIMEOUT` 就没了——注意 Koishi 的 `timeout` 配置走的是 AbortController，管不到这个底层超时。流式下响应头秒回，只要分片不断就不会再触发超时。个别厂商不支持流式时可以关掉。\n\n**失败会自动重试**（`llmRetries`，默认 2 次，退避 1s / 2s）。只对超时、连接中断、限流和 5xx 生效；鉴权失败、参数错误重试多少遍都一样，直接抛出去让你看到真正的原因。错误码可能被 cordis 和 undici 包好几层，判定时会沿 `cause` 链一路往下找。重试在并发名额内进行，短暂退避期间不放掉名额，免得被别的请求插队。\n\n**并发受闸门控制**：每个命名模型的 `concurrency` 限定该模型同时在飞的请求数（默认 2），超出的排队等待。厂商对并发通常有限制，一次打太多会直接调用失败；设为 1 即完全串行。闸门在 `LLMService` 内部，**每个模型各有一道**——不管请求来自群分析、问答、用户画像，还是别的插件通过 `ctx.qqGroupLlm` 调过来，都算在对应模型自己的额度里，一个模型在排队不会挤占另一个模型的名额，所以多人同时发命令、用了不同模型也不会互相拖累。请求失败会立刻归还名额，不会把后面排队的饿死。\n\n**排队日志点名到人**：请求因名额已满而排队时，日志除了写明当前在飞数与上限，还会逐条列出等待队列里是谁在等（`指令/用户ID`，如 `群分析/123456`），每个请求获名额出队时也会再打一条，附上剩余的等待成员。卡住的时候看日志就知道是在排队、前面是谁、还有几个轮到自己。\n\n**同用户同指令不重复入队**：命令层在真正调模型前先登记占位，同一用户对同一指令（群分析 / 高光对话 / 用户画像）已有在飞或排队的请求时直接拒绝再次入队，并回一句「你已有…请求在处理或排队中」。占位从登记起就计入并发额度，取数和渲染期间一并占着，防止同一个人反复堆命令把队列挤爆。任务跨模型时去重依然生效——比如用户的「用户画像」还排着队，他再发一次也会被拦下。\n\n排队者会在入队时收到提示「已入队，前方还有 N 个请求」，明确知道自己的位次。\n\n一份 `群分析` 报告只跑一次模型——话题与金句在同一次请求里返回；`高光对话` 与 `用户画像` 也各只跑一次。命令里那句「正在分析…请稍候」就是为此准备的。\n\n`LLMService` 注册为 `ctx.qqGroupLlm` 服务，其他插件可直接复用。\n\n## 群分析报告\n\n`群分析` 不带参数时出一份报告，含四块内容：\n\n- **概览**：消息数、参与者数、总字数、最活跃时段\n- **热门话题**：模型提取，最多 `maxTopics` 个，每个带参与者与来龙去脉。模型还需为每个话题附上支撑它的原话记录作内部核对依据——防止张冠李戴，这些原话不会展示在结果里\n- **金句**：见下一节，`maxGoldenQuotes` 为 0 时整节不出现\n- **活跃榜**：发言数排行，取前 `maxUsersInReport` 名，带条形图与均字数\n- **活跃时段**：24 小时柱状图，见下文\n\n取数是「最近 `days` 天的最后 `defaultMessages` 条」（默认与 `maxMessages` 一致，可在「分析设置」里单独调），不足 `minMessages` 条直接回一句话说明，不调模型。可用 `-n <条数>` 临时指定分析的最近消息条数（如 `群分析 -n 200`），指定条数超过 `maxMessages` 上限时会先提示超限、再按上限处理，不写回配置。结果按 `频道:天数` 缓存 `cacheMinutes` 分钟，`-f` 跳过；指定了 `-n` 或带自由问答时不走缓存。\n\n### 自由问答\n\n`群分析 <问题>` 就近期记录自由提问，只依据记录作答。回答以普通文本发送（不做 markdown 转义，原文与换行照常保留），模型会为每条结论标出所依据的消息，插件回查原文用于内部核对、防止张冠李戴——记录里没有的信息模型会直说没有，不会编造。\n\n群分析报告的话题与金句在同一次模型请求里返回；请求失败时整块留空，不会拖垮报告，也不会让命令失败。\n\n### 活跃时段\n\n按**配置时区的整点**把发言量分成 24 格。没人说话的整点保留空位，作息里的断档一眼能看见；峰值那一柱用暖色挑出来并标出条数，深夜 00–06 点整体压暗，脚注给出这段时间的占比。这一块纯统计，不经过 LLM，也不消耗 token。\n\n柱高按峰值归一，有发言的整点至少留 3px——不然「1 条」和「一条没有」看起来一模一样。\n\n走文字出口时退化成一行八级方块字符的迷你柱状图，例如 `▂▂       ▂  ▄▃    ▂   ▆█`，外加峰值说明——24 行逐时列表在聊天窗口里太占地方。\n\n## 金句与高光对话\n\n两者由不同的模型请求产生，判定标准互不干扰，**分属两条命令**：\n\n- **金句**（随 `群分析` 报告产出）：单句就能成立的精彩发言——观点新颖、表达生动或有反差感，跳过热词堆砌和复读。与热门话题在同一次模型请求里一起返回。`maxGoldenQuotes` 控制条数上限，设为 0 即不抽取。模型直接返回发送者昵称与原文，不按 id 回查。\n- **高光对话**（`高光对话` 命令）：连续的多轮对话，须同时满足「有学术要素」（某学科的术语、定理、模型、论文或研究范式，不限理工科）和「是冷幽默」（笑点来自一本正经的推演与反差，而非感叹号、颜文字、网络热梗）。两条缺一不可。`maxHighlightDialogues` 控制段数上限，`maxHighlightLines` 控制单段最多几轮；命令带数字参数可临时改本次段数，不写回配置。默认取最近的 `defaultMessages` 条消息，`-n <条数>` 可临时指定取样条数（如 `高光对话 -n 200`），超过 `maxMessages` 上限时会先提示超限、再按上限处理，不写回配置。\n\n分成两条命令是因为篇幅差得远：高光对话保留多轮上下文，混进报告会把报告撑得很长。\n\n两类都是宁缺毋滥，找不到就返回空列表。报告里金句为空则整节不渲染；`高光对话` 一段都没找到时直接回一句话说明，不出图。\n\n高光对话的取数是「最近 `days` 天的最后 `defaultMessages` 条」（默认与 `maxMessages` 一致，可在「分析设置」里单独调），不足 `minMessages` 条直接回一句话说明，不调模型；`-n <条数>` 可临时指定取样条数，超上限时提示后按上限处理。结果按 `频道:天数` 缓存 `cacheMinutes` 分钟，`-f` 跳过；指定了段数或 `-n` 时不走缓存。\n\n模型返回后还会再过一道规整：金句丢掉缺 sender 或 content 的；对话丢掉空轮次、缺 sender 或 content 的轮次，按 `maxHighlightLines` 截断，并要求**截断之后**剩下的至少两轮、至少两人——一个人自问自答不算对话，会被整段丢弃。\n\n金句与高光对话都由模型直接返回发送者昵称与原文：投喂给模型的每条消息 JSON 里带 `sender`（昵称）与 `content`（正文），模型把昵称与正文逐字照抄进返回结果，出图直接用——它自己抄的正文偶尔会改写、润色或漏字，还原的昵称也可能张冠李戴，所以提示词里反复要求照抄原话。`quoteUserFilter` 由于金句随话题共用同一份投喂消息，无法在投喂前剔除，改在结果层按昵称拦截；`dialogueUserFilter` 里用户的发言仍在投喂前就被剔除，模型看不到也就编不出来。\n\n高光对话出图时每条发言都会带上发言人的头像：投喂给模型的每条消息 JSON 里除 `sender` 昵称外再带一个短编号 `uid`（形如 `u1`），提示词要求模型把昵称与编号都原样抄回，插件再按编号在头像映射表里查真正的地址。映射表里没有这个人（从没见过他的头像）就不带该字段，对应轮次头像留空，渲染退回首字色块。详见「头像映射表」。\n\n## 用户画像\n\n每次生成都只依据 `personaLookbackDays` 天内的最新发言，不把已有结论回喂给模型，也不与旧画像做字段合并——结果完全由这批记录决定。画像以 JSON 存进 `qq_group_personas` 表（旧缓存是 YAML，读取时自动兼容），仅用于缓存复用；当发言条数不足或模型调用失败、本次无法产出时，会返回库里的旧画像并说明原因，而不是把它抹掉。\n\n投喂给模型的每条消息 JSON 里带 `scope` 归属字段（`群:xxx` / `频道:xxx`）与 `sender` 昵称，模型在 `evidence` 里逐字照抄该用户的原文，出图直接展示，不再按 id 回查。画像针对同一人，`evidence` 只存原文、不带发送者。\n\n代表发言里的图片**从 `qq_group_media` 表取**，不直接拿记录里的地址渲染：QQ 的图链只活几个小时，而画像可以缓存 `personaCacheDays` 天，照地址拉多半只剩一枚「图片」小标签。消息入库时已经把图抓下来按地址存进了这张表（`mediaRetentionDays` 到期才清），出图前把 `[图片](地址)` 原地换成表里的图片数据（`data:` 形态，渲染层认识它），表里没有的地址原样保留。地址与投喂也分开走：正文里的图片先换成短编号 `[图片:m1]`（与头像的 `uid` 同一套思路，地址一个字符都不进提示词），模型照抄编号，拿回来再按表还原成地址——地址动辄一两百字符，直接给模型抄十有八九抄串行，抄串了出图时就查不到那张图。库里存的一直是原始地址而不是图片数据：一条画像塞几张 base64 就能涨到几百 KB。\n\n默认汇总该用户在所有已记录频道的发言，`personaOnlyCurrentGroup` 可限制为当前频道；`personaCacheDays` 天内复用已有结果，`-f` 跳过。看他人的画像需要 `personaViewAuthority` 级权限（默认 3）。\n\n头像优先用命令触发时抓到的：看自己时直接来自会话，看他人时走 `bot.getUser()`，平台不支持就依次回退到消息记录里的和库里的旧值，都没有也只是不展示头像，不影响画像本身。\n\n## 用户屏蔽\n\n配置里的「用户屏蔽」一节有四份**互相独立**的名单，填用户 ID：\n\n| 配置项 | 作用 |\n|---|---|\n| `analysisUserFilter` | 「群分析」忽略这些人的发言——不进话题、不进活跃榜、不计入统计，自由问答也看不到 |\n| `quoteUserFilter` | 「金句」不收录这些人。由于金句随话题在同一次模型请求里返回、共用同一份投喂消息，被屏蔽者的发言无法在投喂前剔除，改在结果层按昵称拦截（见下） |\n| `dialogueUserFilter` | 「高光对话」不收录这些人，含有他们的对话**整段**丢弃 |\n| `personaUserFilter` | 不为这些人生成「用户画像」 |\n\n分开而不是一份总名单，是因为诉求往往不一样：可以允许某人正常出现在话题和活跃榜里，只是不希望他的话被摘成金句。\n\n除金句外的屏蔽都在**投喂之前**生效——被屏蔽者的发言根本不会进入提示词，模型看不到，也就编不出来。金句随话题共用同一份投喂消息，无法单独剔除，于是退到结果层按昵称拦截：屏蔽名单填的是用户 ID，而模型只认昵称，插件先按消息记录建好「被屏蔽用户 ID → 昵称」的映射，再剔除把话安到被屏蔽者头上的金句（昵称张冠李戴或转述都拦得住）。高光对话在这一步整段丢弃——抽掉其中一轮，剩下的对话就接不上了。\n\n被屏蔽者的消息**照常记录**，只是分析时不用。想恢复时把 ID 从名单里删掉即可，历史记录还在。\n\n## 图片输出\n\n`renderImage` 打开时，`群分析`、`高光对话` 和 `用户画像` 会先渲染成 HTML，再用 puppeteer 截成图发出；`imageWidth` 控制宽度（默认 1000 CSS 像素），`imageScale` 控制缩放倍率（默认 2，即二倍图，在 QQ 里缩放后文字不糊）。\n\npuppeteer 是**可选**依赖。没装、没启用、或者渲染过程中出了任何错，都只会打一条 warn 然后回退到 markdown 文本，命令本身不会失败。启动日志里会写明当前走的是哪种出口。\n\n### 分栏\n\n群分析的分节一律通栏纵向堆叠，列数逐板块指定：\n\n| 板块 | 列数 | 为什么 |\n|---|---|---|\n| 热门话题 | 2 | 话题卡不长，两列刚好 |\n| 金句 | 3 | 金句短，一行一句太浪费横向空间 |\n| 活跃榜 | 2 | 榜单行很扁，两列能省一半高度 |\n| 高光对话（独立命令，整张图） | 1 | 聊天气泡要靠宽度才排得开，挤进窄列就没有对话的样子了 |\n\n实际列数取「板块上限」与「条目数」的较小值——两条内容排三列会空出一列，一条内容排两列会空出一半。`imageWidth` 低于 820 时全部退回单列，每列不足 400px 时卡片里的文字会挤得没法读。\n\n分栏用的是 grid 而非 `column-count`：多列流按列灌，4 张卡片分 3 列会被平衡成 2+2+0 白白空出一列；grid 按行铺，永远不会留空列。\n\n用户画像仍是页面级两列（左结论、右原话），走的是另一条路径：分节整块地灌进两列，不拆。\n\n### 字体与 emoji\n\n版面文案里**不写 emoji**。截图跑在 puppeteer 里，字体栈全是系统字体，标题上的图标一旦缺字就是方框；分节标题靠字重和那条渐变分隔线区分，不靠图标。走 markdown 那条出口不受这条约束——emoji 由聊天客户端自己渲染，那边照旧用。\n\n**但群消息里的 emoji 是数据，得照常渲染出来**，所以字体栈里点名了 `Apple Color Emoji` / `Segoe UI Emoji` / `Noto Color Emoji` 等几个彩色 emoji 族。位置有讲究：排在正文字体**之后**，中英文先由正文字体挑走，`©` `®` `▶` 这类符号不会被顺手换成彩图；排在 `sans-serif` **之前**，泛型族一定匹配得上，放在它前面结果更确定。\n\n光在 CSS 里点名不够，机器上得真装着字体。Debian/Ubuntu 装 `fonts-noto-color-emoji`，Alpine 装 `font-noto-emoji`——Koishi 官方 Docker 镜像基于 Alpine，只带了 `font-noto-cjk`，需要在镜像里补上。没装也只是 emoji 显示成方框，其余版面照常，不会让渲染失败。\n\n正文字体走系统栈（PingFang / 微软雅黑 / Noto Sans CJK 依次回退）。版面是纯 CSS 手写的，不引任何外部资源——不依赖 CDN 字体，离线环境下渲染结果一致，截图前也不用等网络空闲。\n\n### 头像与版面细节\n\n头像来自 `qq_group_avatars`：一人一行，存的是最近一次见到的地址（见「头像映射表」）。这样即使人已退群、或平台不支持事后查询，报告里也还有头像可用；消息按 `retentionDays` 清掉之后那张脸也还在。\n\n头像统一是「首字色块打底、图片盖在上面」，没有地址或图挂了就露出底下的字，不会出现浏览器的破图图标；圆圈里的字对中文昵称取**末字**——群里「老王」「老李」这种前缀太常见，取首字几乎必然撞成同一个字。底色由昵称派生，同一个人每次渲染颜色一致。\n\n高光对话的气泡逐轮自上而下、一律靠左，发言人靠头像和名字区分。正文按 15.5px 排（比报告里其他文字大一档）——聊天记录是这张图的主角，1000px 宽的画布上按 14px 排在手机上看太吃力。**头像顶对齐**：底对齐时，一条带图或带转发卡片的发言能有两三百像素高，头像被推到最底下，和顶上的名字隔了大半个气泡，谁说的就对不上号了；气泡的缺口也跟着开在左上角，对着头像。活跃榜的条形长度相对榜首按比例绘制，前三名有奖牌配色。远程图片会等加载完再截图，单张最多等 10 秒，超时就按当前状态拍，不会把整次渲染拖死。\n\n### 自定义版面\n\n版面开放在配置里，改完不用动代码。页面模板与样式表都按三个出口各一份，分别维护——给群分析换个配色，不会顺手把画像那张图也改了：\n\n| 配置项 | 作用 |\n| --- | --- |\n| `extraCss` | 追加样式，**三张图共用**，接在各自的样式表之后，同名规则覆盖前面的 |\n| `reportHtmlTemplate` / `reportCssTemplate` | 「群分析」的页面模板与样式表 |\n| `dialoguesHtmlTemplate` / `dialoguesCssTemplate` | 「高光对话」的页面模板与样式表 |\n| `personaHtmlTemplate` / `personaCssTemplate` | 「用户画像」的页面模板与样式表 |\n\n除 `extraCss` 外，各项预填的就是内置默认值，照着改即可；**清空则回到内置那份**（插件更新时也会跟着更新）。\n\n三份样式表是各自完整的 CSS，共用的段落（重置、配色变量、分节、消息正文、页脚）在每份里都有一套，独有的只出现在对应那份里：数字条、话题、金句、活跃榜、柱状图只在群分析，气泡与对话脚注只在高光对话，头部资料、要点、代表发言与页面级分栏只在用户画像。\n\n**只想换配色就用 `extraCss`。** 版面的颜色全走 `#card` 上的 CSS 变量，重写几个变量即可，一次对三张图都生效，也不必把哪份样式表整个复制一遍——这样插件后续更新版面时，改动不会被盖掉：\n\n```css\n#card {\n  --accent: #ff6b6b;\n  --accent-2: #ff9f43;\n  --accent-soft: #fff1f1;\n  --surface-2: #fff8f5;\n}\n```\n\n#### 独立窗口里的实时预览\n\n控制台装了 `console` 插件时，本插件的设置页会多出一行「版面预览」，点「在新窗口打开」会**弹出一扇独立窗口**：三个出口各一个标签页，用一份写死的示例数据渲染。\n\n预览**不放在设置页里**——模板和样式表都是大段文本，跟表单挤在同一页时，改一行 CSS 得来回滚动才能看到效果。两扇窗口并排摆着，左边改右边看，才谈得上边改边看。\n\n窗口里的内容**跟着编辑实时刷新**：模板、样式表、图片宽度任意一项改动，不用点保存就立刻重画。渲染走的是出图时同一套函数（`src/render/html.ts`），不是另写一套近似的界面，所以看到什么样，截出来就是什么样。示例数据刻意把引用、提及、图片、合并转发、多人排行榜、有峰值也有深夜的柱状图都塞了进去——这些边角情况最容易被自定义样式改坏。\n\n几个细节：\n\n- 报告塞在 iframe 里。样式表里全是 `body`、`*`、`.section` 这类通用选择器，漏出去会把预览窗口自己的工具条改花。\n- 画面按窗口宽度等比缩放并居中，窗口拉宽就看得更清楚；图片的实际宽度由 `imageWidth` 决定，预览不改它。\n- 模板或样式表写出异常时，预览位置显示一行报错，不会把设置页或预览窗口带崩。\n- 关掉预览窗口，按钮自己复位；离开设置页时窗口一并关掉——留一扇不再更新的窗口在那儿只会让人误会。\n- 弹窗被浏览器拦截时按钮旁边会提示，允许一次即可。\n\n界面用 React 19 写（`client/Preview.tsx`、`client/Launcher.tsx`），外面套一层 Vue 壳挂进控制台（`client/mount.ts`）——控制台本身是 Vue 3 的，插槽只收 Vue 组件。预览窗口里是一个独立的 React 根：把父窗口的根 portal 过去也能渲染，但事件监听挂在父文档上，弹窗里的按钮就点不动了。代价是 react + react-dom 会打进控制台扩展包，产物约 230KB。\n\n没装 `console` 时这段整个跳过，插件照常工作。\n\n#### 页面模板的占位符\n\n三份模板都是一整篇 HTML 文档，`{...}` 由插件填入渲染好的板块。公共的三个：`{title}` 标题（已转义）、`{width}` 图片宽度、`{style}` 该出口的样式表。各自独有的：\n\n| 模板 | 独有占位符 |\n| --- | --- |\n| `reportHtmlTemplate` | `{groupName}` `{timeRange}`；`{stats}` 数字条；四个分节 `{topics}` `{quotes}` `{ranks}` `{hourly}`；四个原始数值 `{totalMessages}` `{totalParticipants}` `{totalChars}` `{mostActivePeriod}` |\n| `dialoguesHtmlTemplate` | `{groupName}` `{timeRange}`；`{dialogues}` 全部对话段；`{count}` 段数；`{totalMessages}` 取样条数 |\n| `personaHtmlTemplate` | `{name}` `{userId}`；`{avatar}` 头像元素；三个分节 `{summary}` `{points}` `{evidence}`；`{columns}` 分栏开关 |\n\n分节占位符可以随意调换先后来改版面，删掉哪个那一节就不出现。群分析默认排 `{topics}{quotes}{ranks}{hourly}`，想把活跃榜提到最前面，把它挪到最左边即可。画像的 `{columns}` 拼在 `.body` 的 class 上，画布够宽且分节多于一个时才是 `columns`，删掉它就是恒定单列——页面级分栏只有画像用得上，另外两张图的多列发生在板块内部，走的是 `.group` 那张网格。\n\n有几条约束：\n\n- **`#card` 必须保留**：截图按这个元素的实际高度裁切，找不到它就退化成整页视口截图，底下会拖一大块空白。\n- 板块内部那些 class（`.banner` `.section` `.rank` `.bubble` 等）由 `render/html.ts` 写死，换样式表时对着这些名字写；一条都不认得的样式表只会得到一张裸 HTML 的截图，不会让渲染失败。\n- 名字对不上的占位符**原样留在页面上**，写错时看得见，不会悄悄渲染成一块空白让人以为是数据缺了。\n- 占位符只填一遍，填进去的内容不再参与匹配——群消息里出现一句 `{ranks}` 不会把活跃榜复制到那个位置上去。\n\n## 时区\n\n`timezone` 填 IANA 名称（如 `Asia/Shanghai`），留空则跟随运行 Koishi 的机器时区。它同时决定三处，三处必须一致，否则报告里的时间范围会和柱状图对不上：\n\n- 活跃时段柱状图的分桶，以及深夜占比的判定\n- 报告与画像里展示的时间范围\n- 投喂给模型的逐条消息时间戳——模型回答「昨晚几点聊的」时依据的就是它\n\n底层是 `Intl.DateTimeFormat`，不引第三方库，夏令时和 `Asia/Kolkata` 这种半小时偏移都由它处理。小时制固定 `h23`：默认的 `h24` 会把午夜写成 24，分桶时会多出一个不存在的下标。\n\n时区名不认识时打一条 warn 后回落到系统时区，不会让命令失败。插件启动时会打一行当前生效时区与当下时间，对不上一眼就能看出来。\n\n## 配置一览\n\n### 消息记录\n\n| 配置项 | 默认 | 说明 |\n|---|---|---|\n| `listenAll` | `true` | 记录所有群；关掉后只记 `groups` 里的 |\n| `groups` | `[]` | `平台:频道 ID`，两段都可留空当通配 |\n| `recordImages` | `false` | 记录图片与视频的地址，关掉只留 `[图片]` `[视频]` |\n| `recordQuotes` | `true` | 记录被引用消息的发言人与原话摘要，关掉只留 `[引用]` |\n| `retentionDays` | `0` | 消息保留天数，0 为永久 |\n| `timezone` | `''` | IANA 时区名，留空跟随系统 |\n\n### LLM 接口\n\n| 配置项 | 默认 | 说明 |\n|---|---|---|\n| `llmModels` | — | 命名模型列表（必填，至少一个），见「LLM 接入」。每个模型的 `concurrency` 是该模型独立的并发上限 |\n| `llmModelTopic` | 列表第一个 | 「群分析」用的模型 id——话题与金句在同一次请求里返回 |\n| `llmModelHighlightDialogues` | 列表第一个 | 「高光对话」用的模型 id |\n| `llmModelQuery` | 列表第一个 | 「群聊问答」用的模型 id |\n| `llmModelUserPersona` | 列表第一个 | 「用户画像」用的模型 id |\n| `llmStream` | `true` | 流式接收响应 |\n| `llmRetries` | `2` | 重试次数，0–5 |\n\n### 分析设置\n\n| 配置项 | 默认 | 说明 |\n|---|---|---|\n| `analysisDays` | `1` | 默认分析天数，1–7 |\n| `maxMessages` | `500` | 单次分析最多取几条（取最近的） |\n| `defaultMessages` | `500` | 「群分析」与「高光对话」默认取几条（不指定 `-n` 时生效），超过 `maxMessages` 按后者处理 |\n| `minMessages` | `20` | 少于这个数不调模型 |\n| `cacheMinutes` | `5` | 结果缓存分钟数，0 不缓存 |\n| `maxUsersInReport` | `10` | 活跃榜展示人数 |\n| `maxTopics` | `5` | 话题数上限 |\n| `maxGoldenQuotes` | `3` | 金句条数上限，0 不抽取 |\n| `maxHighlightDialogues` | `3` | 高光对话段数上限，0 不抽取 |\n| `maxHighlightLines` | `6` | 单段最多几轮，2–20 |\n\n### 用户画像\n\n| 配置项 | 默认 | 说明 |\n|---|---|---|\n| `personaLookbackDays` | `3` | 回溯天数，1–30 |\n| `personaMaxMessages` | `300` | 单次最多取几条 |\n| `personaMinMessages` | `20` | 少于这个数不生成 |\n| `personaCacheDays` | `3` | 复用天数，0 为每次重新生成 |\n| `personaOnlyCurrentGroup` | `false` | 只统计当前频道 |\n| `personaViewAuthority` | `3` | 看他人画像所需权限等级，0–4 |\n\n### 用户屏蔽 / 图片渲染 / 版面模板 / 提示词\n\n四份屏蔽名单见「用户屏蔽」；`renderImage`（`true`）、`imageWidth`（`1000`，480–1600）、`imageScale`（`2`，1–3）见「图片输出」；`extraCss`（空）与三个出口各自的页面模板、样式表（`report*` / `dialogues*` / `persona*`，共六项）见「自定义版面」；四段提示词模板见「LLM 接入」。\n\n## 调试\n\n日志统一挂在 `qq-group-to-llm` 名下，在控制台的日志页按这个名字过滤即可。\n\n`info` 覆盖关键路径：启动时的模型 / 并发 / 时区 / 出口方式与监听范围，每次 LLM 请求的模型、提示词长度、耗时和 **token 用量**，**模型的完整返回原文与解析后的结构**，取数条数与是否触顶截断，缓存命中，命令由谁在哪里发起，画像更新。请求因名额已满而排队时也会打一条，写明当前在飞数与上限，并**逐条列出等待队列里是谁在等**；每个请求获名额出队、或取数不足提前取消时也会各打一条，附上剩余的等待队列——卡住时看这条就知道是在排队、前面是谁、还有几个轮到自己。\n\n`warn` 覆盖可疑但不致命的情况：提示词有未替换的占位符、模型没按 JSON 格式返回、画像或问答的证据/引用缺 sender 或 content（会列出丢弃条数）、子任务失败导致报告某段留空、出图失败回退为文字。\n\n出错时一律打全文不截断：没按格式返回时打完整响应，JSON 语法错时打完整 JSON，接口返回空时打完整响应体（含厂商的 error 字段，比如 `insufficient_quota`）。请求超时或中断时先打一行归纳好的原因（`HTTP 429 | UND_ERR_HEADERS_TIMEOUT | ...`）再打原始错误对象，不用自己在层层嵌套的 `cause` 里翻。\n\n`debug` 会额外打印**完整提示词**和生效配置——提示词里含几百条群消息，很吵，按需开启。API Key 在任何级别都不会进日志。\n\n嫌 `info` 里的完整响应太吵，把 `llm/index.ts` 里那两行 `完整响应` / `解析出` 的 `log.info` 改回 `log.debug` 即可。注意 reggol 对**单行**超过 10240 字会截断，JSON 是多行的所以不受影响。\n\n## 目录结构\n\n```\nsrc/\n├── index.ts            插件入口：装配各模块\n├── types.ts            跨模块共享的领域类型\n├── logger.ts           具名 logger，统一日志来源\n├── time.ts             时区绑定的时间格式化（纯函数）\n├── text.ts             表情、提及等内联标记与占位符（纯函数）\n├── transcript.ts       把消息排成投喂给 LLM 的 JSON 数组（纯函数）\n├── avatar.ts           头像映射表：建表与还原（纯函数）＋ 读写 qq_group_avatars\n├── markdown.ts         QQ markdown 转义与封装（纯函数）\n├── config/\n│   ├── index.ts        配置接口与 Schema\n│   └── prompts.ts      提示词模板默认值\n├── database/\n│   ├── index.ts        建表\n│   └── tables.ts       表名常量与记录类型\n├── llm/\n│   ├── index.ts        LLMService：OpenAI 兼容调用、并发闸门、重试\n│   └── prompt.ts       占位符填充、JSON 提取与修复、错误归类（纯函数）\n├── message/\n│   ├── recorder.ts     消息监听、过滤与序列化\n│   └── retention.ts    过期消息清理\n├── analysis/\n│   ├── group.ts        群分析与高光对话编排\n│   ├── persona.ts      用户画像编排\n│   ├── stats.ts        发言统计（纯函数）\n│   └── report.ts       markdown 报告渲染（纯函数）\n├── render/\n│   ├── html.ts         图片版面的 HTML 拼装（纯函数）\n│   ├── theme.ts        三份样式表与页面模板，以及占位符填充\n│   └── image.ts        puppeteer 截图，失败返回 null 由调用方回退\n└── commands/\n    ├── analysis.ts     群分析 / 自由问答\n    ├── highlights.ts   高光对话\n    ├── persona.ts      用户画像\n    └── target.ts       解析分析目标与群名\n\nclient/                 控制台扩展（版面预览）\n├── index.ts            扩展入口：注册 plugin-details 插槽\n├── mount.ts            Vue 壳，把 React 根挂进控制台\n├── Launcher.tsx        设置页上的入口按钮，管预览窗口的开关与刷新\n├── Preview.tsx         预览窗口里的界面（React 19）\n├── sample.ts           预览用的示例数据\n├── env.d.ts            .vue / .css 等模块的类型声明\n└── style.css           预览外壳的样式（图片本身的样式在 iframe 里）\n```\n\n依赖是单向的：`logger`、`types`、`text`、`transcript`、`markdown`、`time` 是叶子，`config`、`database` 只依赖它们（外加 `render/theme` 里的两份模板默认值，与 `config/prompts.ts` 同理，只是常量），`avatar` 架在 `database` 之上（建表与还原那半截是纯函数，读写那半截要 `Context`），`llm` 与 `message` 建立在这之上，`analysis` 与 `render` 再往上，`commands` 位于最外层。统计与两种渲染（markdown / HTML）都被拆成不依赖 `Context` 的纯函数，可以脱离 Koishi 单独测试。\n\n## 许可\n\nMIT\n","readmeFilename":"readme.md"}