Slack

import { Agent, openai } from "@agentium/core";
import { SlackToolkit } from "@agentium/core/toolkits";

const slack = new SlackToolkit();
// Uses SLACK_BOT_TOKEN env var

const agent = new Agent({
  name: "slack-bot",
  model: openai(process.env.OPENAI_MODEL ?? "gpt-6.1-sol"),
  instructions: "Help manage Slack communications.",
  tools: [...slack.getTools()],
});

const result = await agent.run("Send 'Hello team!' to #general");

export SLACK_BOT_TOKEN="xoxb-..."

const result = await agent.run("Send 'Deployment complete! v2.3.1 is live.' to #deployments");

// The agent calls slack_send_message with:
// { channel: "#deployments", text: "Deployment complete! v2.3.1 is live." }

const result = await agent.run(
  "Reply to the latest message in #support with " +
  "'Thanks for reporting this. We're looking into it now.'"
);

// The agent calls slack_read_messages to find the latest message,
// then calls slack_reply_thread with:
// {
//   channel: "#support",
//   threadTs: "1709234567.123456",
//   text: "Thanks for reporting this. We're looking into it now."
// }

const result = await agent.run("What channels do we have for the engineering team?");

// The agent calls slack_list_channels
// Returns: #engineering, #eng-frontend, #eng-backend, #eng-devops, #eng-standup

const result = await agent.run("What's been discussed in #product today?");

// The agent calls slack_read_messages with:
// { channel: "#product", limit: 20 }
// Then summarizes the conversation