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chore: import upstream snapshot with attribution
2026-07-13 12:43:05 +08:00

11 KiB

@elizaos/plugin-feishu

Feishu/Lark messaging connector for elizaOS agents. Connects an Eliza agent to ByteDance's enterprise collaboration platform (Feishu for China, Lark globally) via WebSocket event subscription and the Lark Open Platform API.

Purpose / role

This plugin registers a FeishuService that opens a persistent WebSocket connection to the Feishu/Lark event subscription API. Incoming messages are handed to the agent runtime as standard elizaOS message events; outgoing messages are dispatched through the registered message connector. The plugin is opt-in and auto-enables when a feishu connector block is present in the agent config (see auto-enable.ts). It also registers a FeishuWorkflowCredentialProvider so workflow automations can call Feishu APIs via HTTP Request nodes without re-entering credentials.

See the root AGENTS.md for repo-wide conventions (logger-only, ESM, naming, architecture rules).

Plugin surface

Services (registered in feishuPlugin.services):

Name Class File Role
feishu FeishuService src/service.ts WebSocket listener, message routing, connector registration
workflow_credential_provider FeishuWorkflowCredentialProvider src/workflow-credential-provider.ts Supplies Feishu app credentials to the workflow plugin

Actions: none registered.

Providers: none registered.

Events emitted (from src/types.ts FeishuEventTypes):

Event constant String value Trigger
FEISHU_WORLD_CONNECTED FEISHU_WORLD_CONNECTED WebSocket connection established
FEISHU_WORLD_JOINED FEISHU_WORLD_JOINED Bot added to a chat/group
FEISHU_WORLD_LEFT FEISHU_WORLD_LEFT Bot removed from a chat/group
FEISHU_ENTITY_JOINED FEISHU_ENTITY_JOINED User joined a chat
FEISHU_ENTITY_LEFT FEISHU_ENTITY_LEFT User left a chat
FEISHU_MESSAGE_RECEIVED FEISHU_MESSAGE_RECEIVED Inbound message dispatched
FEISHU_MESSAGE_SENT FEISHU_MESSAGE_SENT Outbound message sent
FEISHU_REACTION_RECEIVED FEISHU_REACTION_RECEIVED Emoji reaction on a message
FEISHU_INTERACTION_RECEIVED FEISHU_INTERACTION_RECEIVED Interactive card action
FEISHU_SLASH_START FEISHU_SLASH_START Slash command invocation
FEISHU_ENTITY_UPDATED FEISHU_ENTITY_UPDATED User profile updated in a chat

Message connector registered at FeishuService.registerSendHandlers with capabilities: send_message, send_card, send_image, send_file. Supports resolveTargets, listRecentTargets, listRooms, fetchMessages, searchMessages, getChatContext, getUserContext.

Layout

plugins/plugin-feishu/
  auto-enable.ts                 Auto-enable check (env reads only, no runtime init)
  src/
    index.ts                     Plugin object export; init() registers ConnectorAccountProvider
    service.ts                   FeishuService — WebSocket lifecycle, event dispatch, send handler
    messageManager.ts            MessageManager — inbound message parsing, deduplication, runtime dispatch
    environment.ts               Config loading (getFeishuConfig), validation (validateConfig), isChatAllowed
    constants.ts                 FEISHU_SERVICE_NAME, FEISHU_DOMAINS, MAX_MESSAGE_LENGTH
    types.ts                     All Feishu-specific types: FeishuMessage, FeishuChat, FeishuUser,
                                 FeishuCard, FeishuEventTypes enum, payload interfaces
    accounts.ts                  Account resolution: FeishuAccountConfig, resolveFeishuAccount,
                                 listEnabledFeishuAccounts, normalizeAccountId
    connector-account-provider.ts  ConnectorAccountProvider adapter over accounts.ts
    workflow-credential-provider.ts  Surfaces app credentials to workflow plugin
    config.ts                    FeishuConfig, FeishuActionConfig, FeishuReactionNotificationMode
    formatting.ts                Markdown → Feishu Post/rich-text conversion; chunkFeishuText
    connector.test.ts            Integration tests

Commands

These scripts exist in package.json:

bun run --cwd plugins/plugin-feishu build           # compile to dist/
bun run --cwd plugins/plugin-feishu dev             # hot-rebuild (bun --hot build.ts)
bun run --cwd plugins/plugin-feishu test            # vitest run
bun run --cwd plugins/plugin-feishu test:watch      # vitest watch
bun run --cwd plugins/plugin-feishu lint            # biome check --write --unsafe
bun run --cwd plugins/plugin-feishu format          # biome format --write
bun run --cwd plugins/plugin-feishu lint:check      # biome check (no write)
bun run --cwd plugins/plugin-feishu format:check    # biome format (no write)
bun run --cwd plugins/plugin-feishu typecheck       # tsgo --noEmit
bun run --cwd plugins/plugin-feishu clean           # rm dist .turbo tsconfig.tsbuildinfo

Config / env vars

All settings are read via runtime.getSetting(key) in src/environment.ts:

Env var Required Description
FEISHU_APP_ID Yes Feishu/Lark app ID (cli_xxx format). Must start with cli_.
FEISHU_APP_SECRET Yes Feishu/Lark app secret for authentication.
FEISHU_DOMAIN No "feishu" (default, China) or "lark" (global).
FEISHU_ALLOWED_CHATS No JSON array of chat IDs the bot may interact with. Empty = all chats allowed.
FEISHU_IGNORE_BOT_MESSAGES No Default true. Set to "false" to process messages from other bots.
FEISHU_RESPOND_ONLY_TO_MENTIONS No Default false. Set to "true" to only respond when the bot is @-mentioned.
FEISHU_TEST_CHAT_ID No Chat ID used in the test suite.

Multi-account configuration is read from character.settings.feishu (see src/accounts.ts, FeishuAccountConfig). The env-var path (FEISHU_APP_ID / FEISHU_APP_SECRET) always acts as the "default" account.

How to extend

Add a new Feishu event handler:

  1. Subscribe to the event in setupWebSocket() in src/service.ts using the Lark SDK event dispatcher string (e.g. "im.message.reaction.created_v1").
  2. Add a corresponding handler method on FeishuService and emit the right FeishuEventTypes value.
  3. Add the event type to FeishuEventTypes and FeishuEventPayloadMap in src/types.ts.

Add a new action:

  1. Create src/actions/<name>.ts exporting a const <Name>Action: Action object.
  2. Import and push it into feishuPlugin.actions in src/index.ts.

Add message formatting support:

  • Markdown-to-Feishu-Post conversion lives in src/formatting.ts. Add new element tags or chunk strategies there.

Conventions / gotchas

  • The Lark SDK (@larksuiteoapi/node-sdk) wraps both Feishu and Lark behind a domain flag. lark.Domain.Feishu and lark.Domain.Lark are the two values; selected by FEISHU_DOMAIN.
  • FEISHU_APP_ID must start with cli_validateConfig enforces this and logs a warning if invalid.
  • The service starts with exponential-backoff retry (max 5 attempts, 2^n seconds between).
  • Message deduplication is in-memory (last 1000 message IDs in a Set). Restarts will reprocess any messages received during downtime.
  • FeishuWorkflowCredentialProvider registers as workflow_credential_provider — it duck-types the interface without importing @elizaos/plugin-workflow to avoid a compile-time circular dependency. Only httpHeaderAuth credential type is supported (no dedicated Feishu workflow node exists).
  • The auto-enable.ts module must remain import-free of the full plugin runtime — the auto-enable engine loads it on every boot before deciding whether to load the plugin.
  • Text messages are capped at 4000 characters (MAX_MESSAGE_LENGTH / FEISHU_TEXT_CHUNK_LIMIT). Use chunkFeishuText from src/formatting.ts for longer content.

NON-NEGOTIABLE — evidence, trajectories & real end-to-end tests

The binding, repo-wide standard is AGENTS.md. Read it. Nothing in this package is done until it is proven done — a reviewer must confirm it works without reading the code, from the artifacts you attach. This applies to every feature, fix, refactor, and chore here. "Tests pass" is not proof; "CI is green" is not proof.

  • Record AND read model trajectories. Capture the actual inputs and outputs of the model from a live LLM — not the deterministic proxy, not a mock: the prompt, the providers/context, the raw model output, every tool/action call, and the result. Then open the trajectory and review it by hand. A captured-but-unread trajectory is not evidence (packages/scenario-runner/bin/eliza-scenarios run <scenario> --report <out>).
  • Real, full-featured E2E — no larp. Every feature ships detailed end-to-end tests that drive the real path end to end. Not the happy "front door" only: cover error paths, edge/empty/invalid input, concurrency, roles/permissions, and adversarial input. A test that asserts against a mock/stub/fixture standing in for the thing under test does not count. If the real model/device/chain/connector/account is hard to reach, make it reachable — that is the work, not an excuse to mock. If the existing tests here are shallow or mocked, fixing them is part of your change.
  • Screenshots + logs at every phase, plus a complete walkthrough video/run-through of the entire feature or view, start to finish (bun run test:e2e:record).
  • Manually review every artifact the change touches — never just the green check: client logs (console + network), server logs ([ClassName] …), the model trajectories in and out, before/after full-page screenshots, and the domain artifacts listed below for this package.
  • No residuals. No shortcuts. The goal is not "done" — it is everything done. Clear every blocker by the hard path: build the real architecture, stand up the real model/device/service, actually test it. Never leave a TODO, a stub, a stepping-stone, or a "follow-up." When unsure, research thoroughly, weigh the options, and ship the best, highest-effort, production-ready version. Keep going until every possibility is exhausted.

Artifacts → attached inline in the PR (MP4 video, JPG screenshots, logs in <details>); attach each evidence type or explicitly mark it N/A with a reason — never leave it blank. If develop moved and changed behavior, re-capture evidence; stale proof is worse than none.

Capture & manually review for this package — platform connector:

  • A real (or sandbox-account) round-trip on the platform: inbound message → agent → outbound reply, captured as logs and a screenshot/recording of the actual conversation.
  • The raw inbound event/webhook payload and the outbound API request/response, with IDs mapped correctly (stringToUuid / createUniqueUuid).
  • Attachments, threads/replies, edits, multi-account, and rate-limit/error paths — not just a single text ping.
  • The agent trajectory for the turn the connector drove.