角色头像框 · dsh-avatar-frame

DeepSeek Harness 的界面插件：在每轮 AI 回复左侧显示角色头像和可编辑的 ID，并可以把回复朗读出来——用系统语音，或者调用你自己跑的本地 TTS 服务；也可以在设置里一键启动、停止那个服务进程。

插件不附带任何语音模型、参考音频或服务；音色由你自己运行的服务提供，接口见 docs/tts-contract.md。

中文

功能

形象

每轮 AI 回复左侧显示圆形头像，右边是可点击编辑的 ID，与「已完成，用时 …」那一行对齐；
上传图片 → 拖动/缩放裁切 → 应用到所有轮次；
ID 字号可调（10–20px）；
预设：最多 8 套「头像 + ID + 字号」，一键切换；预设图压缩成 JPEG，不占空间。

朗读

点 ID 右侧的小喇叭，朗读这一条回复的正文（只读最终回答，不读思考过程和折叠的工具步骤）；
两种引擎：系统语音（开箱即用）或你自己的本地服务；
播放控制条：朗读时接在小喇叭右侧，可暂停/继续、上一句/下一句、五档语速（0.95× / 1.00× / 1.05× / 1.10× / 1.15×）、停止；
语气三档：平稳 / 自然 / 活泼，随请求发给你的服务；
试听：不用回到聊天，在设置里直接试一句；
失败提示：某句合成失败时，小喇叭旁出现红点，悬停可看原因；
长回复按句切分、提前两段预生成，句间不卡顿。

其他

设置 → 角色头像：头像、ID、字号、预设、朗读、引擎、语气、语速、服务地址、试听、诊断都在这页；
语音服务进程：一键启动/停止你自己配置的服务进程，可勾选「随 DSH 启动」（设置页与插件详情页都能操作）；
诊断信息：服务状态与模型名、上一句合成耗时、播放进度、最近一次错误；
界面语言可切换：中文 / English 两个按钮，放在插件详情页、设置 → 角色头像、点头像弹出的面板三处；选择只记在本机，刷新/重启后保持；
所有数据只在本机 localStorage，不上传、不联网（除非你把服务地址指向远程）。

安装

打开 DeepSeek Harness → 插件 → 添加插件 → 输入本插件的包名（dsh-avatar-frame，从 npm 拉取，最省事）、GitHub 仓库地址（https://github.com/vioeveann/dsh-avatar-frame）或本地目录路径；
重启一次 DSH（必须）。安装、升级后都算：插件的前端模块和服务启动都在 DSH 启动时加载，只刷新页面往往不够，会出现「装上了、显示运行中，但聊天区没变化」。

包名已发布到 npm：dsh-avatar-frame（国内可走 registry.npmmirror.com 镜像）。

装不上怎么办

用 GitHub 地址安装走的是 git，机器连不上 github.com 就会报 ERR_PNPM_GIT_RESOLVE_FAILED。先验证：git ls-remote https://github.com/vioeveann/dsh-avatar-frame；不通就配代理，或在 hosts 里给 github.com 指定一个可用 IP；
完全绕开 git 和 npm：直接下载 v0.11.5 源码 zip → 解压 → 添加插件时填解压后的本地目录（也可以走 Code → Download ZIP）；
用包名安装若提示找不到，先 npm config get registry 确认走的是官方源。

使用

点任意一轮回复左侧的头像，或「已完成」那一行的 ID，打开设置面板；
点「选择头像图片」上传图片，在裁切框里拖动、滚轮缩放，确定；
在面板顶部的输入框里写 ID（角色名、代号都行），字号按需调；
想留一套搭配就点「保存预设」，最多 8 套；
需要朗读就把「朗读」打开，然后点回复旁边的小喇叭。

语音

插件本身不下载模型、不附带参考音频、不启动任何服务。它只做两件事：用系统语音读，或者调用你给的 HTTP 服务。

默认地址 http://127.0.0.1:8123，可在面板、插件详情页或设置页修改，旁边会显示「已连接 / 未连接」的实时状态。服务不可用时会自动退回系统语音，状态点每 8 秒自动重试一次，起好服务后不用刷新。

先用一个示例跑通：仓库里带了一个最小实现，用微软 Edge 的在线语音：

pip install edge-tts
python examples/simple_tts.py          # 监听 127.0.0.1:8123

然后把服务地址填成 http://127.0.0.1:8123，点小喇叭。想要自己的音色，把示例里的 synthesize() 换成你的引擎即可。

一键启动服务（可选）：插件的宿主端可以替你启动那个进程，入口两处——设置 → 角色头像 → 语音服务，以及插件详情页的同名区块。

「启动服务 / 停止服务」：执行你填的那条命令；
「随 DSH 启动」：DSH 启动时自动把它拉起来（不是开机自启）；
「启动配置」里填：启动命令、工作目录、环境变量（每行 KEY=VALUE）。

启动命令   "F:\tts\python.exe" server.py
工作目录   F:\tts
环境变量   HF_HOME=F:\tts\hf-cache

想直接用仓库里的示例服务试这个功能：启动命令 = python examples/simple_tts.py，工作目录 = 本仓库所在目录。

几点要说清楚：

命令是你自己填的，插件不附带任何服务；它只是替你执行、托管这个子进程；
进程生命周期跟随 DSH：DSH 退出时它会被一起收掉；「随 DSH 启动」只在 DSH 启动时执行一次；
端口上已经有服务在跑时（比如你手动开的），插件会显示「端口上已有服务（非本插件启动）」，不会重复启动；
宿主端代码在 DSH 启动时加载，安装或升级插件后要重启一次 DSH，这一块才可用；界面会提示「宿主端未加载」。

接口契约：完整说明见 docs/tts-contract.md。

GET  /health
  -> 200 {"ok": true, "model": "任意字符串"}

POST /tts
  {"text": 要读的文本, "speed": 1.05, "tone": "normal"}
  -> 200，Content-Type 为音频（audio/wav、audio/mpeg 均可）

需要允许 CORS（Access-Control-Allow-Origin: * 并响应 OPTIONS 预检）。tone 是建议值，不认识就忽略；speed 范围 0.7–1.3。

启动失败时先看这一条：设置页「启动配置」下面会显示进程退出前的输出。如果看到

PermissionError: [WinError 10013] 以一种访问权限不允许的方式做了一个访问套接字的尝试

说明端口被 Windows 的保留端口段占住了（Hyper-V / WinNAT 会在重启后划走若干段，用 netsh interface ipv4 show excludedportrange protocol=tcp 查看）。换一个不在保留段里的端口（例如 18124），服务端和插件地址一起改即可。

设置与数据

入口：设置 → 角色头像。所有设置都存在本机浏览器的 localStorage：

键	内容
`dsh-avatar-frame/image/v1`	头像图片（data URL）
`dsh-avatar-frame/id/v1`	ID 文本
`dsh-avatar-frame/size/v1`	ID 字号
`dsh-avatar-frame/presets/v1`	预设列表
`dsh-avatar-frame/speech/v1`	朗读开关
`dsh-avatar-frame/engine/v1`	引擎（`system` / `clone`）
`dsh-avatar-frame/endpoint/v1`	服务地址
`dsh-avatar-frame/rate/v1` / `tone/v1`	语速 / 语气
`dsh-avatar-frame/lang/v1`	界面语言（`zh` / `en`，不写则跟随 DSH）

同一个浏览器的多个窗口之间会同步。换电脑、清缓存会丢，插件没有云同步。

已知限制

只支持 Web 平台的 DeepSeek Harness；
插件接管了「已完成，用时 …」这一行的渲染。停用或卸载插件后请刷新一次界面，否则这一行会显示「未知 surface 事件：turn-process」；
头像只在一轮结束后出现，流式输出过程中没有——那需要接管整个回答渲染器，代价太大；
与同样接管 turn-process 的其他插件会冲突；
朗读按句切分，某一句失败会跳过继续读；
插件的前端模块与「一键启动服务」的宿主端代码都在 DSH 启动时加载：安装或升级后必须重启 DSH，只刷新页面可能没反应；
该功能会按你填写的命令执行本机程序，请只填你自己的服务；路由走本机同源请求，没有额外鉴权，别把 DSH 暴露到公网；
英文界面下「试听一句」会读英文例句，中文音色念英文可能带口音——那是模型的能力边界。

目录结构

.
├── package.json          # bundle 元信息与前端入口声明
├── cordis.patch.yml      # 插件装配
├── index.js              # 宿主端：语音服务的启动/停止与配置（同源路由）
├── client.js             # 前端：界面、播放、设置页（单文件、无构建）
├── locale/               # zh / en 文案与插件描述
├── icon.svg
├── README.md
├── CHANGELOG.md
├── LICENSE
├── docs/                 # 接口契约、截图、发布步骤
└── examples/simple_tts.py

client.js 无构建、无依赖（React 由宿主提供），改完刷新即可；index.js 只在 DSH 启动时加载。发布流程见 docs/releasing.md。

许可

代码以 MIT 发布。插件不包含任何语音模型、参考音频或音色文件；你用到的模型、参考音频、第三方语音服务的许可与版权需自行确认，请勿把他人声音素材随本插件分发。

English

An avatar frame and read-aloud plugin for DeepSeek Harness: a character portrait and an editable ID beside every assistant reply, with read-aloud through the system voice or your own local TTS service — the plugin can also start and stop that process for you.

It ships no voice model, no reference audio and no service. Your voice comes from a service you run; the contract is in docs/tts-contract.md.

Features

The frame

A round avatar in the gutter of every settled reply, with an editable ID aligned to the "Completed in …" row;
Upload an image, drag/zoom to crop, apply it to every turn;
ID text size adjustable (10–20px);
Up to 8 saved presets of "avatar + ID + size"; preset images are stored as compressed JPEG.

Read aloud

Click the speaker next to the ID to read the reply's final answer only (not the thinking or collapsed tool steps);
Two engines: the system voice, or your own local service;
Playback bar beside the speaker: pause/resume, previous/next sentence, five speeds (0.95×–1.15×), stop;
Three tone presets (calm / natural / lively) sent to your service;
Preview the voice from the settings page without touching the chat;
Failure dot next to the speaker with the reason on hover;
Long replies are split by sentence and pre-generated two chunks ahead, so playback stays continuous.

The rest

Settings → Character avatar holds everything: avatar, ID, size, presets, read-aloud, engine, tone, speed, endpoint, preview, diagnostics;
Service process: start/stop your own TTS process and optionally start it with DSH (available on both the settings page and the plugin page);
Diagnostics: service state and model name, last synthesis time, playback progress, last error;
Chinese / English UI switch on the plugin page, the settings page and the avatar popup; the choice is stored locally;
Everything is kept in this browser's localStorage; nothing is uploaded unless you point the endpoint at a remote host.

Install

Open DeepSeek Harness → Plugins → Add plugin → enter this plugin's package name (dsh-avatar-frame), its GitHub URL (https://github.com/vioeveann/dsh-avatar-frame), or a local directory path;
Restart DSH (required). This applies to installs and upgrades alike: both the client module and the service launcher load at DSH startup, and a page refresh alone is usually not enough — otherwise you get "installed and running, but the chat row looks unchanged".

The package is published on npm as dsh-avatar-frame — installing by that name is the simplest route.

If installation fails

Installing from a GitHub URL goes through git; if your machine can't reach github.com it fails with ERR_PNPM_GIT_RESOLVE_FAILED. Check with git ls-remote https://github.com/vioeveann/dsh-avatar-frame, then use a proxy or point github.com at a reachable IP in your hosts file;
To bypass git and npm entirely: download the source zip from the latest release, unzip it, and point "Add plugin" at the unzipped local directory (the Code → Download ZIP route works too);
If the package name isn't found, check npm config get registry — it must be the official registry.

Usage

Click the avatar left of any reply, or the ID in the "Completed in …" row, to open the panel;
Choose an image, then drag and zoom in the crop stage;
Type the ID and pick a text size;
Optionally save the combination as a preset (up to 8);
Turn on "Read aloud" and click the speaker next to a reply.

Speech service

The plugin never downloads a model or bundles a voice. It either uses the system voice or calls an HTTP service you provide. The default address is http://127.0.0.1:8123 and can be changed in the panel, the plugin page or the settings page; a status dot shows connected / not connected and retries every 8 seconds, so start the service and watch it turn green — no refresh needed.

Try it with the bundled example (Microsoft Edge online voices):

pip install edge-tts
python examples/simple_tts.py          # listens on 127.0.0.1:8123

Point the plugin at http://127.0.0.1:8123 and click the speaker. To use your own voice, replace synthesize() in that file with your engine.

One-click service start (optional). The host half can launch the process for you; the same block exists in Settings → Character avatar → Speech service and on the plugin page:

Start / Stop service — runs the command you configure;
Start with DSH — launches it once at DSH startup (not an OS autostart);
Launch settings — the command, the working directory, and KEY=VALUE environment lines.

The command is yours: the plugin does not ship a service, it only executes and supervises that child process. Its lifetime follows DSH, and if something is already listening the plugin says so instead of starting a second copy.

Contract: GET /health → {"ok": true, "model": "..."}; POST /tts with {"text", "speed", "tone"} → audio (audio/wav or audio/mpeg). CORS with an OPTIONS preflight is required. Full details: docs/tts-contract.md.

Settings and data

Settings → Character avatar. Every key lives in this browser's localStorage: image, id, size, presets, speech, engine, endpoint, rate, tone, lang — all under the dsh-avatar-frame/…/v1 prefix. Windows of the same browser stay in sync; clearing site data resets it, and there is no cloud sync.

Known limitations

Web platform only;
The plugin replaces the renderer for the "Completed in …" row, which is how the avatar fits in the left gutter — refresh once after disabling or uninstalling it, otherwise that row shows "unknown surface event: turn-process";
The avatar appears only after a turn finishes; streaming turns have none (that would require replacing the whole answer renderer);
Conflicts with other plugins that also replace turn-process;
Read-aloud is split by sentence; a failed sentence is skipped;
The service launcher's host code loads at DSH startup, so restart DSH after upgrading the plugin;
That feature runs local programs with the command you type — only point it at your own service; the route is same-origin on your machine and has no extra auth, so don't expose DSH to the internet;
In the English UI the preview reads an English sentence; a Chinese-trained voice will carry an accent — that is the model, not the plugin.

License

MIT. The repository contains no voice model, reference audio or voice data; licenses for the models, audio and services you use are your responsibility.

dsh-avatar-frame

インストール

README