ai_member_xiaobian/.agents/skills/lark-event/references/lark-event-im.md
2026-05-15 10:57:05 +08:00

4.2 KiB

IM Events

Prerequisite: Read ../SKILL.md first for the event consume essentials (commands, subprocess contract, jq usage).

Heads-up for AI agents: this key's .content is NOT the raw OAPI payload shape your training data may suggest. lark-cli runs a Process hook (convertlib) that flattens the V2 envelope and pre-renders .content to human-readable text for text / post / image / file / audio / etc. Only interactive (cards) keeps the raw JSON string. Don't blindly fromjson.

Key catalog (11)

EventKey Purpose
im.message.receive_v1 Receive IM messages
im.message.message_read_v1 User read a bot's p2p message (group messages don't fire this)
im.message.reaction.created_v1 Reaction added to a message
im.message.reaction.deleted_v1 Reaction removed from a message
im.chat.updated_v1 Chat settings changed (owner, avatar, name, permissions, etc.)
im.chat.disbanded_v1 Chat disbanded
im.chat.member.bot.added_v1 Bot added to a chat
im.chat.member.bot.deleted_v1 Bot removed from a chat
im.chat.member.user.added_v1 User joined a chat (including topic chats)
im.chat.member.user.deleted_v1 User left voluntarily or was removed
im.chat.member.user.withdrawn_v1 Pending chat invite withdrawn (inviter canceled; user never actually joined)

Shape: im.message.receive_v1 is the only flat key (fields at .xxx); the other 10 are V2-enveloped (fields at .event.xxx).

Gotchas (im.message.receive_v1)

sender_id is open_id only: the event payload carries no display name. Call the contact API separately if you need the sender's name.

.content shape depends on message_type (this key uses a flat Custom schema; see events/im/message_receive.go):

message_type .content shape How to read
text / post / image / file / audio / sticker / share_chat / share_user / media / system Human-readable text (convertlib-processed; @mentions resolved to display names) Use .content directly
interactive (card) Raw card JSON string (structured actions can't be losslessly flattened) .content | fromjson to get the card object

Do not blindly fromjson — for non-interactive messages it fails with jq: fromjson cannot be applied to "hello" because .content isn't JSON-encoded.

# text: .content is plain text — no fromjson needed
lark-cli event consume im.message.receive_v1 --as bot \
  --jq 'select(.message_type=="text") | .content'

# interactive: .content is a JSON string — fromjson to parse
lark-cli event consume im.message.receive_v1 --as bot \
  --jq 'select(.message_type=="interactive") | .content | fromjson'

On-demand filter recipes

Default = no --jq. Run lark-cli event consume im.message.receive_v1 --as bot to see every message. The recipes below are only for cases where the user has asked to narrow the stream.

1. Filter by chat type (p2p vs group)

chat_type is an enum with values p2p / group.

# p2p only (direct messages)
lark-cli event consume im.message.receive_v1 --as bot \
  --jq 'select(.chat_type=="p2p") | {from: .sender_id, msg: .content}'

# group only
lark-cli event consume im.message.receive_v1 --as bot \
  --jq 'select(.chat_type=="group") | {chat: .chat_id, from: .sender_id, msg: .content}'

2. Filter by message type

# text only — content is plain human-readable text
lark-cli event consume im.message.receive_v1 --as bot \
  --jq 'select(.message_type=="text") | .content'

# interactive (card) only — parse the card body
lark-cli event consume im.message.receive_v1 --as bot \
  --jq 'select(.message_type=="interactive") | .content | fromjson'

3. Filter by sender (only one user's messages)

# example: only messages from the given open_id
lark-cli event consume im.message.receive_v1 --as bot\
  --jq 'select(.sender_id=="ou_xxxxxxxxxxxxxxxxxxxxxxxxxx") | {msg_id: .message_id, text: .content}'

Get your own open_id via lark-cli contact +get-user --as user; other users' via lark-cli contact +search-user.