lark-event
Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM messages/reactions/chat changes, Approval status changes, Task updates, VC meeting started/joined/ended, Minutes generated, Whiteboard updated, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses.
Works with
---
name: lark-event
description: Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM messages/reactions/chat changes, Approval status changes, Task updates, VC meeting started/joined/ended, Minutes generated, Whiteboard updated, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses.
license: MIT
---
# Lark Events
> **Prerequisite:** Read [`../lark-shared/SKILL.md`](../lark-shared/SKILL.md) first for authentication, `--as user/bot` switching, `Permission denied` handling, and safety rules.
## Core commands
| Command | Purpose |
|------|------|
| `lark-cli event list [--json]` | List all subscribable EventKeys |
| `lark-cli event schema <EventKey> [--json]` | Show an EventKey's params and output schema |
| `lark-cli event consume <EventKey> [flags]` | Blocking consume; events → stdout NDJSON |
| `lark-cli event status [--json] [--fail-on-orphan]` | Inspect the local bus daemon status |
| `lark-cli event stop [--all] [--force]` | Stop the bus daemon |
## Common flags
| Flag | Description |
|---|---|
| `--param key=value` / `-p` | Business params (repeatable; comma-separated for multi-value). Unknown keys fail with valid names listed inline |
| `--jq <expr>` | jq expression to filter / transform each event; empty output skips the event |
| `--max-events N` | Exit after N events. Default 0 = unlimited |
| `--timeout D` | Exit after duration D (e.g. `30s`, `2m`). Default 0 = no timeout. Whichever of `--max-events` / `--timeout` fires first wins |
| `--output-dir <dir>` | Write each event as a file (relative paths only; prevents traversal) |
| `--quiet` | Suppress ready/exit markers and per-event stderr diagnostics, including drop warnings. This can hide event loss. **AI should not use this** — it removes readiness and integrity signals |
| `--as user\|bot\|auto` | Identity for the session (see lark-shared) |
## Examples
```bash
# Default: stream every event for the key (no filter, no projection)
lark-cli event consume im.message.receive_v1 --as bot
# List every EventKey of one domain (the authoritative, always-current catalog)
lark-cli event list --domain vc --json
# Grab one sample event to inspect payload shape
lark-cli event consume im.message.receive_v1 --max-events 1 --timeout 30s --as bot
# Run for 10 minutes then auto-exit
lark-cli event consume im.message.receive_v1 --timeout 10m --as bot
# Consume multiple EventKeys concurrently (one shape per process, no dispatcher)
lark-cli event consume im.message.receive_v1 --as bot > receive.ndjson &
lark-cli event consume im.message.reaction.created_v1 --as bot > reaction.ndjson &
wait
```
## Call flow
1. `lark-cli event list --json` → pick a legal key. `--domain <d>` narrows to one domain; the domains are `application`, `approval`, `board`, `card`, `im`, `minutes`, `task`, `vc`. An unknown domain fails with the valid set listed in the hint.
2. `lark-cli event schema <key> --json` → read `resolved_output_schema` + `jq_root_path` to determine field paths
3. `lark-cli event consume <key> [--jq '<expr>']` → consume
## Subprocess contract
### Ready marker
`event consume`'s stderr emits a fixed line `[event] ready event_key=<key>`. **Parent processes should block on stderr until this line appears, then start reading stdout.** Do not fall back to `sleep`.
### stdin EOF = graceful exit
`event consume` treats stdin close as a shutdown signal (wired for AI subprocess callers). **Bounded runs are exempt: when `--max-events` or `--timeout` is set (> 0), stdin EOF is ignored and the run exits only via its own bound, timeout, or SIGTERM.** For unbounded runs, `< /dev/null` / `nohup` / systemd's default `StandardInput=null` will cause an immediate graceful exit (stderr `reason: signal`). To keep an unbounded run alive:
- Feed stdin a source that never EOFs: `< <(tail -f /dev/null)`
- Or run bounded: `--max-events N` / `--timeout D`
### Exit codes & reason
On exit, the last stderr line is `[event] exited — received N event(s) in Xs (reason: ...)`.
| exit code | reason | Trigger |
|---|---|---|
| 0 | `reason: limit` | `--max-events` reached |
| 0 | `reason: timeout` | `--timeout` reached |
| 0 | `reason: signal` | Ctrl+C / SIGTERM / stdin EOF (stdin EOF applies to unbounded runs only) |
| 1 | JSON error envelope on stderr | Lark API business failure during pre-consume setup (for example subscription create/delete) |
| 2 | JSON error envelope on stderr (no `exited` line) | Validation failure (unknown EventKey, bad `--param` / `--jq`, another bus already connected) |
| 3 | JSON error envelope on stderr | Auth failure (missing token, missing scopes) |
| 4 / 5 | JSON error envelope on stderr | Network / internal failure (bus startup, handshake, file I/O) |
Startup and runtime failures emit a structured JSON envelope on stderr: `{"ok":false,"error":{"type","subtype","param","message","hint",...}}` (the envelope may also carry top-level `identity` / `_notice` siblings). Parse `error.type` / `error.subtype` to branch (e.g. `missing_scope` carries a `missing_scopes` list), `error.param` to find the offending flag, and `error.hint` for the recovery action — do not regex-match message text.
Orchestrators should treat `reason: limit/timeout/signal` (all exit 0) as "business completion" and non-zero as "failure".
### Never `kill -9`
**Avoid `kill -9` on consume processes** for EventKeys whose PreConsume registers a server-side subscription **and** unsubscribes on exit (minutes, vc, board keys): `kill -9` skips the OAPI unsubscribe and leaks the server-side subscription (symptoms: "subscription already exists" on restart, duplicate event delivery). Keys whose subscription is a durable relation with no cleanup (task, approval keys) do not leak this way, but SIGTERM or closing stdin remains the right shutdown for every key.
### One consume, one EventKey (multi-key = multi-shell)
The command takes exactly one positional argument; `k1,k2` and wildcards are unsupported. Listening to N keys means N subprocesses — this is **intentional**:
- One shape per process stdout; no dispatcher logic required in the AI
- Fault isolation (one key failing doesn't affect others)
- Independent `--as` / `--jq` / `--max-events` / `--timeout` per key
All N consumers share a single bus daemon (UDS local IPC), so the overhead is small
## Writing jq via schema
`event schema <key> --json` is the source of truth for writing `--jq`. Four things to look at:
**(1) Where fields start** — see `jq_root_path`
- Value `"."` → fields are at the top level, write `.chat_id`
- Value `".event"` → fields are inside a V2 envelope, write `.event.chat_id`
**(2) Field list and types** — see `resolved_output_schema.properties.<name>`
Each field carries `type` / `description`, and some also have `format`. Snippet (from `event schema im.message.receive_v1 --json`):
```json
{
"chat_id": {"type":"string", "format":"chat_id", "description":"Chat ID, prefixed with oc_"},
"sender_id": {"type":"string", "format":"open_id", "description":"Sender open_id, prefixed with ou_"},
"create_time": {"type":"string", "format":"timestamp_ms", "description":"Send time as ms-epoch string"}
}
```
**(3) Field semantics** — see the `format` tag
Lark-defined semantic tags (**not** JSON Schema's standard `format`). Common values: `open_id` / `chat_id` / `message_id` / `timestamp_ms` / `email`. Purpose: distinguish "same string type, different meanings" fields so you can reverse-lookup via API or convert formats.
**(4) Decoded state** — read the field's `description`
`event consume` runs Process hooks that may pre-decode some payload fields (flattening V2 envelopes, rendering `.content` to plain text, etc.) — behavior differs from raw OAPI. **Always read the field's `description` before writing jq**, especially for generic field names like `content` / `data` / `body` / `payload`.
**Why it matters**: blindly applying `fromjson` to an already-decoded text field makes jq error on every event and silently drop it — the consumer looks alive but emits nothing, with only a single `WARN` line buried on stderr. (This is the general behavior: any jq runtime error skips the event with a one-line WARN; the loop does not abort.)
**Don't shortcut the schema**: when projecting `event schema --json` with jq, do not strip `.description` from `properties` — that's the field that tells you whether a field is already decoded. Dump the full property objects, not just keys.
---
**Aside**: `--param`'s valid parameters also live in the schema — the `params` section lists `name` / `type` / `required` / `enum` / `default` / `description`; **section missing = this key accepts no `--param`**.
## Topic index
| Topic | Reference | Coverage |
|------------|------------------------------------------------------------------------------|---|
| Application | [`references/lark-event-application.md`](references/lark-event-application.md) | Catalog of Application EventKeys, including `application.bot.menu_v6` for custom bot menu push events + flattened `event_key` / operator fields + jq recipe |
| Approval | [`references/lark-event-approval.md`](references/lark-event-approval.md) | Catalog of 2 Approval EventKeys (`approval.instance.status_changed_v4`, `approval.task.status_changed_v4`) + optional/multi `subscription_type` pre-registration + user-auth subscription lifecycle + flat output field reference |
| IM | [`references/lark-event-im.md`](references/lark-event-im.md) | Catalog of 12 IM EventKeys + shape notes (flat vs V2 envelope) + `im.message.receive_v1` field gotchas (`sender_id` is open_id only; `.content` is plain text except for `interactive` cards) + common jq recipes (filter by chat_type / message_type / sender); for `card.action.trigger` see also [`../lark-im/references/lark-im-card-action-reply.md`](../lark-im/references/lark-im-card-action-reply.md) |
| Task | [`references/lark-event-task.md`](references/lark-event-task.md) | Catalog of 1 Task EventKey (`task.task.update_user_access_v2`) + Native V2 envelope shape + task commit types + user/bot subscription notes |
| VC | [`references/lark-event-vc.md`](references/lark-event-vc.md) | Catalog of 7 VC EventKeys (meeting lifecycle `participant_meeting_started/joined/ended_v1`, `vc.note.generated_v1`, recording `recording_started/transcript_generated/ended_v1`) + field reference + source type semantics; the live list is always `lark-cli event list --domain vc --json` |
| Minutes | [`references/lark-event-minutes.md`](references/lark-event-minutes.md) | Catalog of 1 Minutes EventKey (`minutes.minute.generated_v1`) + field reference + source type semantics (meeting only) |
| Whiteboard | [`references/lark-event-whiteboard.md`](references/lark-event-whiteboard.md) | Catalog of 1 Board EventKey (`board.whiteboard.updated_v1`) + per-whiteboard subscription model (requires `-p whiteboard_id=<token>`) + payload field reference (whiteboard_id / operator_ids triple-id) |More API Design skills
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飞书/Lark 原生 OpenAPI 探索:从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark-* skill 或 lark-cli 已注册命令满足,需要查找并调用原生飞书 OpenAPI 时使用。
azure-aigateway
microsoft/azure-skills
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.

