Lark Events

SkillSearch

Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM message receive, reactions, chat member changes, 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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Lark Events skill

What this skill tells your AI

The instructions your AI receives, as published by pengfeiqiao/kunpeng in skills/lark-cli/lark-event/SKILL.md and read by ahel’s review.

Prerequisite: Read ../lark-shared/SKILL.md first for authentication, --as user/bot switching, Permission denied handling, and safety rules.

Core commands

CommandPurpose
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

FlagDescription
--param key=value / -pBusiness 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 NExit after N events. Default 0 = unlimited
--timeout DExit 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)
--quietSuppress stderr diagnostics. AI should not use this — it silences the ready marker
--as user|bot|autoIdentity for the session (see lark-shared)

Examples

# Default: stream every event for the key (no filter, no projection)
lark-cli event consume im.message.receive_v1 --as bot

# 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
  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). < /dev/null / nohup / systemd's default StandardInput=null will cause an immediate graceful exit (stderr reason: signal). To keep running:

  • 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 codereasonTrigger
0reason: limit--max-events reached
0reason: timeout--timeout reached
0reason: signalCtrl+C / SIGTERM / stdin EOF
non-0Error: ... (no exited line)Startup / runtime failure (permissions, network, params, config)

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 with a PreConsume hook (those that register server-side subscriptions via OAPI), kill -9 skips the OAPI unsubscribe and leaks server-side subscriptions (symptoms: "subscription already exists" on restart, duplicate event delivery). Prefer SIGTERM or closing stdin.

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):

{
  "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

TopicReferenceCoverage
IMreferences/lark-event-im.mdCatalog of 11 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)

Signals

GitHub stars
92
Forks
30
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
lark-event-pengfeiqiao
Source
github.com/pengfeiqiao/kunpeng