My first slack bot!

I successfully built and deployed a massive upgrade to Slacky Wacky, adding four powerful new features! Here is exactly how I implemented them:

1. Conversational Memory:
   I used better-sqlite3 to set up a lightweight database. When a user asks a question, the bot retrieves their last 10 messages so the Groq API has multi-turn context:

const db = new Database('chat_history.db');
db.exec(\`
  CREATE TABLE IF NOT EXISTS messages (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    user_id TEXT,
    role TEXT,
    content TEXT
  )
\`);
function getHistory(userId) {
  return db.prepare('SELECT role, content FROM messages WHERE user_id = ? ORDER BY id DESC LIMIT 10').all(userId).reverse();
}

1. Block Kit UI:
   I refactored all responses into structured Slack Block Kit elements for a much cleaner look:

await respond({
  blocks: [
    {
      type: "section",
      text: { type: "mrkdwn", text: \`*Answer:*\\n\${groqAnswer}\` }
    }
  ]
});

1. Live Web Dashboard & Reverse Proxy:
   I integrated an Express server into index.js to log system metrics and API latency in real time. I then configured a custom reverse proxy domain (sandeepkurma.hackclub.app) inside the dashboard pointing to target port 3000:

app.get('/', (req, res) => {
  res.send(\`<h1>Slack Bot Live Dashboard</h1><p>Latest Latency: \${latestLatency} ms</p>\`);
});

1. Multimodal Image Support:
   I added logic to check for image file extensions (jpg, png, etc.) in the user’s message. If found, the bot automatically switches the model to `llama-3.2-11b-vision-preview` and formats the request content structure:

const modelToUse = containsImage ? 'llama-3.2-11b-vision-preview' : 'llama-3.3-70b-versatile';

Everything is fully verified, tested, and running 24/7 on my container!

I rigorously tested the active slash commands in Slack. All of them are running successfully on Nest 24/7!Tested:- /slacky-wacky-help -> Lists the commands and their usage successfully.- /slacky-wacky-fact -> Returns a random mind-blowing fun fact.The bot handles everything asynchronously using Socket Mode, and the responses are extremely fast! Everything is ready and fully verified.

I built Slacky-Wacky, a fully custom Slack bot powered by the Llama 3.3 model from Groq! The bot handles interactive Slash commands through Socket Mode including:- /slacky-wacky-ask - An AI Q&A assistant to query Llama 3.3.- /slacky-wacky-status - Check system/bot status.- /slacky-wacky-help - Provide clear usage directions.- /slacky-wacky-joke - Tell funny developer jokes.- /slacky-wacky-fact - Share mind-blowing science & history facts.- /slacky-wacky-define - An interactive dictionary command.I resolved integration quirks like Bolt channel requirements, configured SSH keys for Nest, and successfully logged over 1 hour of development time to Hackatime!