bihangchi9-creator/dsh-lark-bridge

Send a message in a Feishu chat, and a real dsh agent — with its own tools, its own project directory, and its own persistent conversation — answers you right there. Each group chat is an isolated workspace, so a team can run several projects in parallel, one per group.

catalog 简介 / catalog descriptioncatalog description:A native DeepSeek Harness (dsh) plugin bridging dsh coding agents to Feishu/Lark group chats — one group, one project directory.

项目介绍Project Overview

dsh-lark-bridge 是 DeepSeek Harness 原生插件,将飞书/Lark 群聊与 dsh 编码智能体对接。每个群聊映射独立项目目录和持久会话,收到的消息触发智能体回复,并通过 WebSocket 流式回写到飞书消息上,支持图片与文件附件(图片≤10MB、文件≤20MB、每条消息最多5个)。首次启动若未配置凭证,会自动启动二维码注册向导。典型场景:团队在群聊中直接驱动编码任务,多项目并行。注意事项:默认需 @ 提及机器人;外部部署需配置 allowlist 防止越权访问。

dsh-lark-bridge is a native DeepSeek Harness plugin that connects Feishu/Lark group chats to a dsh coding agent over a long-lived WebSocket, so no public IP is required. Each chat maps to an isolated project folder with a persistent session, and inbound messages drive a live agent whose streamed replies appear on a live-updating Feishu card; images and files are auto-downloaded into .attachments/. First-time setup auto-launches a QR registration wizard if no credentials exist, and slash commands (/help, /new, /model, /allow) control each chat locally. Use it when a team wants to drive coding work conversationally inside Feishu, running multiple projects in parallel across groups. Caveat: the bot must be @-mentioned by default, and any externally reachable deployment should configure allowlists and pick an appropriate access tier (read-only / workspace / full).

或使用命令行安装(适合开发者)Or use CLI install (for developers)

命令行安装CLI Install

dsh plugin --profile web add github:bihangchi9-creator/dsh-lark-bridge

bihangchi9-creator/dsh-lark-bridge 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

dsh-lark-bridge

A native DeepSeek Harness (dsh) plugin that bridges dsh coding agents to Feishu / Lark group chatsone group, one project folder.

中文 README

Send a message in a Feishu chat, and a real dsh agent — with its own tools, its own project directory, and its own persistent conversation — answers you right there. Each group chat is an isolated workspace, so a team can run several projects in parallel, one per group.


What it does

  • Feishu ⇄ dsh agent. Inbound Feishu messages drive a live dsh agent through the host's agents service; the reply streams back onto a live-updating Feishu message.
  • One group, one project folder. Every chat id maps to a stable directory (<workspaceRoot>/<chatId>), created on first use. Different groups never touch each other's files.
  • Persistent per-chat sessions. A chat's conversation survives restarts (policy-fingerprint-gated resume-or-create; /new really clears it).
  • Files. Just send them to the bot — the bridge downloads them into the chat's .attachments/ folder and hands the paths to the agent. Limits: 5 attachments per message, ≤20 MB each (over-limit attachments are rejected loudly); file names are sanitized; files older than 7 days are swept. (Images are not supported yet.)
  • Zero-config setup. On first launch, if no credentials exist, the plugin auto-runs a QR registration wizard — scan it in the Feishu app and it connects automatically. No portal spelunking.
  • Slash commands. /help, /new, /where, /model, /whoami manage each chat locally; the owner can authorize/revoke a group in-chat with /allow and /disallow.

Architecture in one picture

①  Feishu Open Platform            ← register a bot here (auto QR wizard does it for you)
        │  gives: app_id + app_secret
        ▼
②  dsh-lark-bridge  (this plugin)  ← holds the keys, opens a WebSocket to Feishu,
        │                             turns each message into an agent turn
        ▼
③  dsh host (DeepSeek Harness)     ← loads the plugin, provides the `agents` service

The bot registration lives entirely on Feishu, not in dsh. dsh only loads this plugin; the plugin then connects out to Feishu over a long-lived WebSocket (so no public IP or callback URL is needed).


Requirements

  • A working DeepSeek Harness (dsh) checkout you can launch with dsh web.
  • Node.js ^22.19.0 || >=24.0.0.
  • A DeepSeek API key (set DEEPSEEK_API_KEY, or configure it in your dsh credentials).
  • A Feishu account to scan the QR code (the wizard creates the app for you).

Install

Option 1: official dsh plugin command (recommended when dsh is installed)

# run from your dsh checkout; `link:` points at this project directory
dsh plugin --profile web add link:/path/to/dsh-lark-bridge

dsh plugin runs pnpm add in the profile directory and auto-reconciles dsh.profile.bundles: a package that declares dsh.bundle joins the layer stack automatically — installed and registered in one line, loaded after the next restart, with no --patch and no manual config edits. Remove/update with the same family: dsh plugin --profile web remove dsh-lark-bridge / dsh plugin --profile web update dsh-lark-bridge.

Option 2: one-command setup (recommended)

git clone https://github.com/bihangchi9-creator/dsh-lark-bridge.git
cd dsh-lark-bridge
pnpm setup            # macOS / Linux (scripts/setup.sh)
pnpm setup:win        # Windows (scripts/setup.ps1)

The script preflights your Node version, builds the plugin, links it into the dsh profile, and registers it as a bundle (when dsh is on PATH it delegates to Option 1's official command internally). After that, launch dsh directly — no --patch flag needed:

# macOS / Linux
DSH_PERMISSION_MODE=danger-full-access dsh web

# Windows PowerShell
$env:DSH_PERMISSION_MODE = "danger-full-access"; dsh web

Different profile: DSH_PROFILE=headless pnpm setup; custom dsh home: DSH_HOME=/path/.dsh pnpm setup (both env vars work on Windows too).

Option 3: manual install (source mode)

Because the dsh public npm graph is still partial, install from source alongside your dsh checkout.

# 1. Clone next to your dsh checkout; install & build
git clone https://github.com/bihangchi9-creator/dsh-lark-bridge.git
cd dsh-lark-bridge
pnpm install
pnpm build            # compiles src/ -> lib/

Then register it as a dsh bundle (once it's in the profile, dsh web loads it automatically — no --patch):

# 2. Link it into the profile's node_modules (bundle resolution anchor)
#    macOS / Linux:
mkdir -p ~/.dsh/profiles/web/node_modules
ln -s "$(pwd)" ~/.dsh/profiles/web/node_modules/dsh-lark-bridge
#    Windows PowerShell (directory junction — no admin rights needed):
#    New-Item -ItemType Junction -Path "$env:USERPROFILE\.dsh\profiles\web\node_modules\dsh-lark-bridge" -Target (Get-Location).Path

# 3. Append the package name to dsh.profile.bundles in ~/.dsh/profiles/web/package.json:
#    "bundles": ["@deepseek-ai/dsh-base", "@deepseek-ai/dsh-web-app", "dsh-lark-bridge"]

Launch dsh (the bundle loads the plugin automatically):

# from your dsh checkout
DSH_PERMISSION_MODE=danger-full-access dsh web

DSH_PERMISSION_MODE=danger-full-access makes the agent's approval policy never. This is needed because Feishu users cannot click through a local approval prompt. Only use it in an environment you trust.

Platform notes (Windows vs macOS/Linux)

Item macOS / Linux Windows
One-command setup pnpm setup (scripts/setup.sh) pnpm setup:win (scripts/setup.ps1)
dsh home directory ~/.dsh (i.e. $HOME/.dsh) %USERPROFILE%\.dsh
Directory link ln -s (symlink) New-Item -ItemType Junction (junction — no admin rights needed)
Env var syntax DSH_PERMISSION_MODE=danger-full-access dsh web PowerShell: $env:DSH_PERMISSION_MODE="danger-full-access"; dsh web; cmd: set DSH_PERMISSION_MODE=danger-full-access && dsh web
Registration URL file ~/.dsh-lark-bridge/register-url.txt %USERPROFILE%\.dsh-lark-bridge\register-url.txt
Run as a background service launchd (macOS) / systemd (Linux) Task Scheduler (schtasks)
QR registration / build / chat commands identical everywhere identical everywhere

The two setup scripts behave identically and are idempotent: preflight → build → link → register bundle.

First run: register your bot

Every user registers their own Feishu bot — you cannot share an app_secret, as that hands over control of your bot.

On the first launch with no credentials, the plugin prints a QR code in the terminal (and writes the raw URL to ~/.dsh-lark-bridge/register-url.txt for backgrounded runs). Steps:

  1. Open the Feishu mobile app, scan the QR code.
  2. Confirm creating a self-built app on your phone.
  3. The plugin receives the credentials, saves them to ~/.dsh-lark-bridge/credentials.json, and connects automatically.
  4. Add the bot to a group (or DM it) and start talking.

Prefer to do it manually / re-register / switch accounts? Run the standalone wizard:

pnpm register           # or: npx dsh-lark-register

Already have credentials? Skip the wizard entirely by exporting them:

export LARK_APP_ID=cli_xxx
export LARK_APP_SECRET=yyy
export LARK_TENANT=feishu      # or `lark` for larksuite.com

Using it in a chat

Command What it does
(any text) A prompt to this chat's agent
/help Show help
/new Start a fresh session (clears this chat's context)
/where Show this chat's project directory
/model [name] Show or switch the model for this chat
/whoami Show your identity and this chat's authorization state
/allow (owner only, group chats) Authorize this chat to use the bot
/disallow (owner only, group chats) Revoke this chat's authorization

In a group chat, @-mention the bot to trigger it (unless mention is disabled). In a DM, just send a message.

Configuration

Every field can come from the plugin config: block or an environment variable (env is the friendlier default).

Config Env var Default Meaning
appId LARK_APP_ID Feishu app id (cli_...)
appSecret LARK_APP_SECRET Feishu app secret
tenant LARK_TENANT feishu feishu (feishu.cn) or lark (larksuite.com)
provider DSH_LARK_PROVIDER dsh default LLM provider route
model DSH_LARK_MODEL dsh default Model for created agents
workspaceRoot DSH_LARK_WORKSPACE_ROOT ~/dsh-lark-workspaces Root for per-chat folders
allowDm DSH_LARK_ALLOW_DM true Respond in direct messages
requireMention DSH_LARK_REQUIRE_MENTION true In groups, require an @-mention
allowedChats DSH_LARK_ALLOWED_CHATS [] Chat ids allowed to use the bot (comma-separated). Empty = no group allowed (fail-closed)
allowedUsers DSH_LARK_ALLOWED_USERS [] User open_ids allowed to DM the bot (comma-separated). Empty = only the owner may DM

Credentials are read in this order: inline config → environment variables → the file written by the registration wizard.

Access control (security model)

The bot's security boundary is exactly "who may send it a message": every message becomes an agent turn with host-level permissions, so access is deny-by-default:

  • The owner always passes. The person who scanned the QR at registration is the owner (open_id stored in credentials.json); older installs are backfilled automatically at startup via the app-info API.
  • Groups: only chat ids listed in DSH_LARK_ALLOWED_CHATS may use the bot.
  • DMs: only open_ids listed in DSH_LARK_ALLOWED_USERS may use the bot (owner always allowed).
  • Fail-closed: with an unknown owner and empty allowlists, every message is denied — the denial reply includes the chat id so you can configure it.

Example:

# Allow groups oc_xxx1, oc_xxx2 and let ou_friend DM the bot
export DSH_LARK_ALLOWED_CHATS="oc_xxx1,oc_xxx2"
export DSH_LARK_ALLOWED_USERS="ou_friend"

Runtime owner resolution needs the application-info scope; the registration wizard captures the open_id directly, so usually nothing extra is needed. Any deployment reachable by people outside your team should configure the allowlists.

Access tiers (blast radius)

Even after the access gate passes, what an agent may touch is tiered (DSH_LARK_ACCESS_MODE, default workspace):

Tier Preset What the agent can do
read-only lark-readonly search/read files only — no writes, no shell, no network
workspace (default) lark-workspace read/write/edit files; no shell, no network, no subagents (no arbitrary code execution). Ships with a lark_cli tool: Feishu operations (IM, docs, sheets, calendar, …) via the host's authenticated lark-cli, spawned as an argv array with a timeout and output cap — Feishu power without opening a shell
full deployment default everything the host offers (shell, network, subagents)

Presets are dsh's toolset compositions: the host sandbox is identical for every preset, so the enforceable difference between tiers is which tools exist. The workspace tier removes the crown jewels of the attack surface — arbitrary code execution, network egress, and delegation.

The setup scripts (pnpm setup / pnpm setup:win) install the presets into the harness-home user root automatically. Manual install (discovery is uncached):

mkdir -p ~/.dsh/.agent-presets
cp -r presets/lark-workspace presets/lark-readonly ~/.dsh/.agent-presets/

Further host-level hardening: dsh's workspace-write permission preset (sandbox = writes inside the workspace, wider operations require approval) hard-bounds fs writes — but for remote users "wider" means "denied" (nobody can click the approval prompt), and it changes shell behavior, so verify it in your target deployment before enabling. The plugin-level tiers already remove shell/web/subagents, which is the highest value-per-risk change.


Pairs well with lark-cli

If you already use lark-cli / the Lark skills to drive Feishu (docs, sheets, IM, calendar…), this plugin slots in beside it: keep using lark-cli for structured Feishu operations, and let dsh-lark-bridge be the conversational coding agent living in your group chats. You're very welcome to combine the two — for example, ask the agent in a group to draft something, then use lark-cli skills to push it into a Feishu doc.

Troubleshooting

  • Bot says nothing / "(no output)" — make sure a model is resolvable (dsh's default model service must be configured, or set DSH_LARK_MODEL).
  • "missing Feishu credentials" — the wizard didn't complete; re-run pnpm register or export LARK_APP_ID / LARK_APP_SECRET.
  • QR not visible (backgrounded dsh) — open the URL saved at ~/.dsh-lark-bridge/register-url.txt in a browser.
  • Group messages ignored — you must @-mention the bot, or set DSH_LARK_REQUIRE_MENTION=false.

Credits

dsh-lark-bridge is a creative extension of lark-coding-agent-bridge (originally feishu-claude-code-bridge) by zarazhangrui, by way of trae-to-lark. This project is a native DeepSeek Harness plugin reimplementation. All original work remains under its MIT license; see LICENSE and NOTICE for the full copyright chain.

License

MIT

上一个 Prev dsh-memory 下一个 Next dsh-vision