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
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