* fix(slack): pass recipient_team_id and recipient_user_id to streaming API calls
The Slack Agents & AI Apps streaming API (chat.startStream / chat.stopStream)
requires recipient_team_id and recipient_user_id parameters. Without them,
stopStream fails with 'missing_recipient_team_id' (all contexts) or
'missing_recipient_user_id' (DM contexts), causing streamed messages to
disappear after generation completes.
This passes:
- team_id (from auth.test at provider startup, stored in monitor context)
- user_id (from the incoming message sender, for DM recipient identification)
through to the ChatStreamer via recipient_team_id and recipient_user_id options.
Fixes#19839, #20847, #20299, #19791, #20337
AI-assisted: Written with Claude (Opus 4.6) via OpenClaw. Lightly tested
(unit tests pass, live workspace verification in progress).
* fix(slack): disable block streaming when native streaming is active
When Slack native streaming (`chat.startStream`/`stopStream`) is enabled,
`disableBlockStreaming` was set to `false`, which activated the app-level
block streaming pipeline. This pipeline intercepted agent output, sent it
via block replies, then dropped the final payloads that would have flowed
through `deliverWithStreaming` to the Slack streaming API — resulting in
zero replies delivered.
Set `disableBlockStreaming: true` when native streaming is active so the
final reply flows through the Slack streaming API path as intended.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
- Import ChatStreamer from @slack/web-api/dist/chat-stream.js (not re-exported from index)
- Fix TypeScript control flow narrowing for streamSession used in closure
Adds support for Slack's Agents & AI Apps text streaming APIs
(chat.startStream, chat.appendStream, chat.stopStream) to deliver
LLM responses as a single updating message instead of separate
messages per block.
Changes:
- New src/slack/streaming.ts with stream lifecycle helpers using
the SDK's ChatStreamer (client.chatStream())
- New 'streaming' config option on SlackAccountConfig
- Updated dispatch.ts to route block replies through the stream
when enabled, with graceful fallback to normal delivery
- Docs in docs/channels/slack.md covering setup and requirements
The streaming integration works by intercepting the deliver callback
in the reply dispatcher. When streaming is enabled and a thread
context exists, the first text delivery starts a stream, subsequent
deliveries append to it, and the stream is finalized after dispatch
completes. Media payloads and error cases fall back to normal
message delivery.
Refs:
- https://docs.slack.dev/ai/developing-ai-apps#streaming
- https://docs.slack.dev/reference/methods/chat.startStream
- https://docs.slack.dev/reference/methods/chat.appendStream
- https://docs.slack.dev/reference/methods/chat.stopStream
