🔌 Spiralverse Protocol - Service Integrations

Overview

This guide demonstrates how to integrate the Spiralverse Protocol with modern cloud services and developer tools to build production-ready AI agent systems.

🤖 Asker Bot - AI Caretaker Feature

Concept

The Asker Bot is an AI caretaker that monitors other AI agents like a parent checking on their kids:

“Have you done your tasks?”
“Do you need to charge (resources)?”
“Are you experiencing any errors?”
“Do you need help with anything?”

This implements the Status Tongue and Query Tongue for autonomous fleet health monitoring.

Architecture

Slack Workspace
    ↓
Asker Bot (Slack App)
    ↓
AWS Lambda Function
    ↓
Spiralverse Protocol Router
    ↓
AI Agent Fleet (robots, satellites, drones)

1️⃣ Slack Integration

Setup Slack Bot with Webhooks

Step 1: Create Slack App

Go to https://api.slack.com/apps
Click “Create New App” → “From scratch”
Name: Spiralverse Asker Bot
Select your workspace

Step 2: Enable Incoming Webhooks

Navigate to “Incoming Webhooks” in sidebar
Toggle “Activate Incoming Webhooks” to On
Click “Add New Webhook to Workspace”
Select channel (e.g., #robot-fleet-status)
Copy the Webhook URL: https://hooks.slack.com/services/YOUR/WEBHOOK/URL

Step 3: Configure Bot Permissions

Go to “OAuth & Permissions” and add scopes:

chat:write - Send messages
channels:read - View channel info
users:read - Read user information
app_mentions:read - Respond to mentions

Step 4: Event Subscriptions

Enable Events in sidebar
Subscribe to bot events:
- app_mention - When bot is @mentioned
- message.channels - Channel messages
Set Request URL to your Lambda endpoint (next section)

2️⃣ AWS Lambda - Serverless AI Agent Backend

Deploy Asker Bot Lambda Function

Lambda Function Code

// asker-bot-lambda.js
import { SpiralverseProtocol } from '@spiralverse/core';

const protocol = new SpiralverseProtocol({
  nodeId: 'asker-bot-001',
  tongues: ['query', 'status']
});

export const handler = async (event) => {
  const body = JSON.parse(event.body);
  
  // Slack URL verification challenge
  if (body.type === 'url_verification') {
    return {
      statusCode: 200,
      body: JSON.stringify({ challenge: body.challenge })
    };
  }
  
  // Handle Slack event
  if (body.event && body.event.type === 'app_mention') {
    const userId = body.event.user;
    const channel = body.event.channel;
    const text = body.event.text;
    
    // Check if asking for fleet status
    if (text.includes('status') || text.includes('health')) {
      const fleetStatus = await checkFleetHealth();
      await sendSlackMessage(channel, formatFleetStatus(fleetStatus));
    }
    
    // Check if asking about specific robot
    if (text.includes('robot-')) {
      const robotId = text.match(/robot-\d+/)[0];
      const robotStatus = await checkRobotStatus(robotId);
      await sendSlackMessage(channel, formatRobotStatus(robotStatus));
    }
  }
  
  return { statusCode: 200, body: 'OK' };
};

async function checkFleetHealth() {
  // Use Spiralverse Query Tongue
  const response = await protocol.query({
    targets: 'fleet:all',
    queries: ['battery_level', 'task_status', 'error_count', 'last_checkin']
  });
  
  return response;
}

async function sendSlackMessage(channel, text) {
  await fetch(process.env.SLACK_WEBHOOK_URL, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ channel, text })
  });
}

function formatFleetStatus(status) {
  return `🤖 *Fleet Status Report*\n\n` +
    `✅ Healthy: ${status.healthy}\n` +
    `⚠️ Low Battery: ${status.lowBattery}\n` +
    `❌ Errors: ${status.errors}\n` +
    `📊 Total Agents: ${status.total}`;
}

Deploy to AWS Lambda

# Install AWS CLI
aws configure

# Create deployment package
zip -r asker-bot.zip asker-bot-lambda.js node_modules/

# Create Lambda function
aws lambda create-function \
  --function-name spiralverse-asker-bot \
  --runtime nodejs20.x \
  --role arn:aws:iam::YOUR_ACCOUNT:role/lambda-exec-role \
  --handler asker-bot-lambda.handler \
  --zip-file fileb://asker-bot.zip \
  --environment Variables="{SLACK_WEBHOOK_URL=https://hooks.slack.com/...}"

# Create API Gateway trigger
aws apigatewayv2 create-api \
  --name spiralverse-api \
  --protocol-type HTTP \
  --target arn:aws:lambda:us-east-1:YOUR_ACCOUNT:function:spiralverse-asker-bot

3️⃣ GitHub Actions - Automated Deployment

CI/CD Pipeline for Spiralverse Protocol

`.github/workflows/deploy-asker-bot.yml`

name: Deploy Asker Bot

on:
  push:
    branches: [main]
    paths:
      - 'src/asker-bot/**'
      - '.github/workflows/deploy-asker-bot.yml'

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '20'
          
      - name: Install dependencies
        run: npm ci
        
      - name: Run tests
        run: npm test
        
      - name: Run Spiralverse Protocol validation
        run: npm run validate:protocol

  deploy:
    needs: test
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@v2
        with:
          aws-access-key-id: $
          aws-secret-access-key: $
          aws-region: us-east-1
          
      - name: Build deployment package
        run: |
          npm ci --production
          zip -r asker-bot.zip .
          
      - name: Deploy to Lambda
        run: |
          aws lambda update-function-code \
            --function-name spiralverse-asker-bot \
            --zip-file fileb://asker-bot.zip
            
      - name: Send Slack notification
        run: |
          curl -X POST $ \
            -H 'Content-Type: application/json' \
            -d '{"text":"✅ Asker Bot deployed successfully!"}'

  integration-test:
    needs: deploy
    runs-on: ubuntu-latest
    steps:
      - name: Test Asker Bot endpoint
        run: |
          curl -X POST $/test \
            -H 'Content-Type: application/json' \
            -d '{"test":true}'

4️⃣ Scheduled Health Checks

Automated “Mom Check-ins”

Use GitHub Actions or AWS EventBridge to schedule regular check-ins:

`.github/workflows/fleet-health-check.yml`

name: Fleet Health Check

on:
  schedule:
    - cron: '0 */2 * * *'  # Every 2 hours
  workflow_dispatch:  # Manual trigger

jobs:
  health-check:
    runs-on: ubuntu-latest
    steps:
      - name: Query Fleet Status
        run: |
          curl -X POST $/health-check \
            -H 'Content-Type: application/json' \
            -d '{
              "action": "check_all",
              "questions": [
                "battery_level",
                "task_completion",
                "error_status",
                "resource_usage"
              ]
            }'

5️⃣ Integration Patterns

Pattern 1: Slack → Lambda → Robot Fleet

// User types in Slack: @asker-bot check robot-42
// ↓
// Slack sends webhook to Lambda
// ↓
const event = await protocol.query({
  tongue: 'query',
  target: 'robot-42',
  questions: [
    'What is your battery level?',
    'Have you completed your tasks?',
    'Do you need maintenance?'
  ]
});
// ↓
// Lambda formats response and sends to Slack
await sendSlackMessage(channel, `
  🤖 Robot-42 Status:
  🔋 Battery: 78%
  ✅ Tasks: 5/7 completed
  🔧 Maintenance: Not needed
`);

Pattern 2: Automated Reminders

// Every 2 hours via scheduled Lambda
const lowBatteryBots = await protocol.query({
  tongue: 'status',
  filter: { battery: { $lt: 20 } }
});

if (lowBatteryBots.length > 0) {
  await sendSlackAlert({
    text: `⚠️ ${lowBatteryBots.length} robots need charging!`,
    attachments: lowBatteryBots.map(bot => ({
      text: `${bot.id}: ${bot.battery}% battery`
    }))
  });
}

Pattern 3: Multi-AI Coordination

// Asker Bot coordinates multiple AIs
const taskDistribution = await protocol.negotiate({
  tongue: 'negotiation',
  participants: ['robot-fleet', 'satellite-swarm', 'drone-network'],
  task: 'space_debris_cleanup',
  resources: { time: '4h', budget: 10000 }
});

await sendSlackMessage(channel, `
  📋 Task Distribution:
  🤖 Robots: Cleanup zones 1-5
  🛰️ Satellites: Tracking and guidance  
  🚁 Drones: Transport debris to collection
`);

6️⃣ Production Deployment Checklist

Security

Store Slack webhook URL in AWS Secrets Manager
Use JWT authentication for Lambda endpoints
Implement rate limiting on Slack bot
Enable CloudWatch logging
Set up multi-signature verification

Monitoring

CloudWatch dashboards for Lambda metrics
Slack alerts for critical errors
DynamoDB table for conversation history
X-Ray tracing for distributed debugging

Scaling

Lambda concurrency limits configured
API Gateway throttling rules
DLQ (Dead Letter Queue) for failed events
Auto-scaling for ECS containers (if used)

7️⃣ Example Asker Bot Commands

In Slack:

@asker-bot status
→ Shows overall fleet health

@asker-bot check robot-42
→ Individual robot status

@asker-bot remind low-battery
→ List all bots with <20% battery

@asker-bot help robot-99
→ Send maintenance request

@asker-bot distribute-task cleanup-zone-3
→ Coordinate multi-agent task

🚀 Next Steps

Deploy Asker Bot to AWS Lambda
Connect to Slack workspace
Test with simulated robot fleet
Add monitoring dashboards
Scale to production workloads

📚 Resources

**Spiralverse Protocol™

Making AI agents care for each other** 🤖💙