Connecting Feishu meant creating a bot by hand on the open platform and
pasting an App ID and App Secret back. Feishu also exposes an RFC 8628
device-authorization flow, so the desktop can now render a QR code, and
confirming it in the app creates the bot and stores its credentials
directly. `adapters/feishu/registration.ts` implements that protocol
rather than importing `registerApp` from `@larksuiteoapi/node-sdk@1.73`:
the repository pins 1.60 for the chat client, and the SDK runs the whole
poll inside one un-cancellable promise where the desktop needs the
stateless begin/poll pair the DingTalk registration already uses. The
scan is create-only, so it can never rewrite the configuration of a bot
the user already runs, and it pre-fills exactly the scopes, events and
callbacks this adapter calls. International tenants finish on Lark's
domain, which is now persisted and honoured by the client.
WeCom, QQ and Slack join the same session model. WeCom and QQ bind by
scanning; Slack has no scan flow, so it uses an app manifest that
pre-fills the scopes and Socket Mode. All three run over long
connections, so no public callback URL is needed, and all three accept
private chats only — pairing authorizes one person, and answering in a
group would extend that authorization to everyone else in the room.
They are built on a new `adapters/common/chat-runtime.ts` instead of a
fourth copy of the loop the five existing adapters each carry. A platform
supplies a `ChatPort` — how to say something, how to open a streaming
reply, optionally how to send an image — and the runtime owns pairing,
command routing, session restore, permission bookkeeping and the
translation of the server's stream. The existing five are deliberately
left on their own copies; migrating them is a separate change with its
own regression surface.
Attachments are downloaded through a deferred loader that runs after the
pairing gate and inside the per-chat queue. Resolving them eagerly would
let an unpaired stranger make the adapter fetch bytes and write them
under ~/.claude/im-downloads — on Slack with the bot token attached —
and would let a slow attachment overtake a text message sent after it.
The sidecar launcher's per-adapter branches become one table. It is
declared above the mode dispatch on purpose: `runAdapters` is hoisted and
runs at module top level, so a table declared below it is still in its
temporal dead zone when the adapters mode reads it — which type checks,
lints and unit tests all miss, and only the compiled binary reveals.
Verified with the checks `check:impact` selects: adapters, server,
desktop, electron, policy, chat-contract, agent-flow, docs, native
(sidecar compile, packaging and an adapters-mode smoke against the real
binary) and coverage. The scan flows themselves are not verified against
live platforms — that needs real WeCom, QQ and Slack accounts and would
create real bots.
Claude-Session: https://claude.ai/code/session_01CCGoP316AK7wdQG3Ms6Uwq
Avoid Bun filter-mode repository scans that exhaust macOS file descriptors and corrupt subprocess test evidence. Apply rooted filters across server, contract, coverage, persistence, policy, desktop native, and adapter test entrypoints.
Confidence: high
Scope-risk: narrow
Tested: bun run check:policy; bun run check:server; bun run check:chat-contract
Add a WhatsApp adapter backed by Baileys linked-device auth, plus desktop QR binding UI, server config endpoints, sidecar startup wiring, tests, and documentation.
Constraint: Uses WhatsApp Web linked-device auth, not Meta WhatsApp Business Cloud API.
Tested:
- cd adapters && bun run check:adapters
- bun test src/server/__tests__/adapters.test.ts
- cd desktop && bun run check:desktop
- bun run check:native
- bun run check:persistence-upgrade
- bun run check:docs
Not-tested:
- Live WhatsApp QR pairing, because no WhatsApp account/device was exercised here.
- bun run check:server, because the existing src/server/__tests__/conversations.test.ts timeout still fails independently.
Confidence: medium
Scope-risk: moderate
This captures the pending worktree fixes before applying them to the
current local main. The changes tighten IM adapter path and credential
handling, preserve retry behavior for failed desktop notifications, and
make Azure/OpenAI provider auth and stop reasons reflect actual runtime
state.
Constraint: Worktree was detached from an older local main with pending uncommitted fixes
Rejected: Merge the detached HEAD directly | would also replay unrelated stale history
Rejected: Leave notification dedupe as fire-and-forget | failed sends consumed retry keys
Confidence: high
Scope-risk: broad
Directive: Keep adapter absolute-path matching constrained to configured work roots
Tested: git diff --check
Not-tested: full quality gate before local main integration
DingTalk uses QR registration to store client credentials, then reuses the existing IM pairing and session bridge. The merged main implementation keeps the existing WeChat QR binding path intact while adding DingTalk as a peer IM platform. The default IM workdir now falls back to the local user working directory so a newly bound chat can start immediately even when recent-project history is empty.
Constraint: Local main already carries WeChat IM, so the merge keeps WeChat config, QR binding, sidecar args, and unbind behavior intact while adding DingTalk.
Rejected: Keep empty defaultProjectDir as project-picker-only | newly bound IM users can hit a dead end with no recent projects.
Confidence: high
Scope-risk: moderate
Directive: Keep IM platform unions synchronized across config, pairing, sidecar args, desktop settings, and docs.
Tested: bun test common/ dingtalk/ wechat/; bun test src/server/__tests__/adapters.test.ts; cd adapters && bunx tsc --noEmit; bun run check:policy; bun run check:server; bun run check:desktop; bun run check:adapters; bun run check:native; bun run check:docs
Not-tested: quality:pr full gate was blocked by existing local main CLI-core diff requiring allow-cli-core-change maintainer approval; live post-fix DingTalk second-message delivery was not repeated after the merge.
WeChat needs a QR-paired path instead of bot-token setup, so the adapter layer now includes the iLink protocol calls, desktop pairing UI, server-side bind/unbind APIs, and shared IM command behavior. Empty project history falls back to the user's default work directory so mobile /new works without pre-opening a desktop project.
Constraint: Tencent iLink login returns a URL that the desktop UI must render as a QR image locally
Constraint: IM adapters should keep /new, /projects, status, permission, and default workdir behavior consistent across WeChat, Feishu, and Telegram
Rejected: Require users to paste absolute project paths for first WeChat sessions | mobile onboarding should work from the default user working directory
Confidence: high
Scope-risk: moderate
Directive: Do not change WeChat polling back to overlapping intervals; getupdates is a long-poll endpoint and must remain serialized
Tested: Real WeChat QR scan, inbound /status, outbound reply, and unbind E2E
Tested: bun run check:adapters
Tested: bun run quality:pr
Not-tested: Re-scan live WeChat after the default-workdir fallback tweak; covered by adapter config tests and PR gate
Implement IM adapters allowing users to chat with Claude Code from Telegram
and Feishu/Lark. Includes persistent session management (chatId→sessionId
mapping), project selection via /projects command, and a web UI settings page
for configuring bot tokens, allowed users, and default project directory.
Key changes:
- adapters/: Telegram and Feishu adapter scripts with shared common modules
(WsBridge, MessageBuffer, SessionStore, HttpClient, config, formatting)
- Backend: adapterService + REST API (GET/PUT /api/adapters) with secret masking
- Frontend: AdapterSettings page in Settings tab with i18n support
- DirectoryPicker: use React Portal for dropdown to fix overflow clipping
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>