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dsh-lark-bridge

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bihangchi9-creator/dsh-lark-bridge

Native DSH plugin bridging coding agents to Feishu/Lark group chats, mapping one group to one project directory with persistent sessions, image/file support, and zero-config QR setup.

  • bot
  • coding-agent
  • deepseek
  • deepseek-harness
  • dsh-plugin
  • feishu
  • lark
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35GitHub
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Manifest version
0.0.1dsh-lark-bridge
Latest push
Aug 21, 2026GitHub
License
NOASSERTIONTypeScript
Plugin type
HostRuns in the DSH Host

README

View source

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).
  • Images & files. Just send them to the bot — the bridge downloads them into the chat's .attachments/ folder and hands the paths to the agent (images via read_image). Limits: 5 attachments per message, images ≤10 MB, files ≤20 MB (over-limit attachments are rejected loudly); file names are sanitized; files older than 7 days are swept.
  • 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: 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. 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 2: 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)

ItemmacOS / LinuxWindows
One-command setuppnpm setup (scripts/setup.sh)pnpm setup:win (scripts/setup.ps1)
dsh home directory~/.dsh (i.e. $HOME/.dsh)%USERPROFILE%\.dsh
Directory linkln -s (symlink)New-Item -ItemType Junction (junction — no admin rights needed)
Env var syntaxDSH_PERMISSION_MODE=danger-full-access dsh webPowerShell: $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 servicelaunchd (macOS) / systemd (Linux)Task Scheduler (schtasks)
QR registration / build / chat commandsidentical everywhereidentical 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

CommandWhat it does
(any text)A prompt to this chat's agent
/helpShow help
/newStart a fresh session (clears this chat's context)
/whereShow this chat's project directory
/model [name]Show or switch the model for this chat

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).

ConfigEnv varDefaultMeaning
appIdLARK_APP_IDFeishu app id (cli_...)
appSecretLARK_APP_SECRETFeishu app secret
tenantLARK_TENANTfeishufeishu (feishu.cn) or lark (larksuite.com)
providerDSH_LARK_PROVIDERdsh defaultLLM provider route
modelDSH_LARK_MODELdsh defaultModel for created agents
workspaceRootDSH_LARK_WORKSPACE_ROOT~/dsh-lark-workspacesRoot for per-chat folders
allowDmDSH_LARK_ALLOW_DMtrueRespond in direct messages
requireMentionDSH_LARK_REQUIRE_MENTIONtrueIn groups, require an @-mention
allowedChatsDSH_LARK_ALLOWED_CHATS[]Chat ids allowed to use the bot (comma-separated). Empty = no group allowed (fail-closed)
allowedUsersDSH_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):

TierPresetWhat the agent can do
read-onlylark-readonlysearch/read files only — no writes, no shell, no network
workspace (default)lark-workspaceread/write/edit files; no shell, no network, no subagents (no arbitrary code execution)
fulldeployment defaulteverything 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.

Install the presets into the harness-home user root (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

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