Chat SDK's Slack adapter now supports Slack's newest agent features. Agents built with Chat SDK could already talk in channels and DMs. This update adds the Agent badge, agent conversations in the Messages tab, suggested prompts, rotating status messages, token-by-token streamed replies, and native feedback buttons.

import { Chat } from "chat";

import { createSlackAdapter } from "@chat-adapter/slack";

const bot = new Chat({

userName: "mybot",

adapters: {

slack: createSlackAdapter({

agentView: true,

suggestedPrompts: {

title: "Welcome! What can I do for you?",

prompts: [

{ title: "Catch me up", message: "What did I miss today?" },

{ title: "Draft a message", message: "Help me draft a message" },

],

},

loadingMessages: ["Thinking...", "Digging through the archives..."],

feedbackButtons: true,

}),

},

});

Configure your native Slack agent in Chat SDK

Here's what the adapter gives you:

  • Suggested prompts, per thread: Pass a static payload or an async resolver that receives the thread context, including what the user is currently viewing under agent_view. Prompts are pinned automatically whenever an agent thread opens.

  • Native streaming with a fallback: Streamed replies render token-by-token via Slack's streaming API, including task and plan cards. If a workspace doesn't support streaming (e.g., GovSlack), the adapter switches to post-and-edit mid-stream without losing content.

  • Built-in feedback: Set feedbackButtons: true and every streamed reply ends with Slack's native thumbs-up and thumbs-down buttons. Clicks dispatch through the regular bot.onAction flow with a positive or negative value.

One thing to know: under agent_view, Slack threads each user message individually, so channel history only returns the user's side of a DM. Use Chat SDK transcripts to build AI conversation history instead.

Read the documentation to get started, or begin with one of our templates.