Deployment Helper Skill

Production deployment configurations for elizaOS agents with Docker, monitoring, and scaling.

Deployment Patterns

1. Single Agent Deployment

// src/index.ts import { AgentRuntime } from '@elizaos/core'; import { PGAdapter } from '@elizaos/adapter-postgresql'; import character from './character';

const runtime = new AgentRuntime({ databaseAdapter: new PGAdapter(process.env.DATABASE_URL), character, env: process.env });

await runtime.initialize();

// Health check endpoint app.get('/health', (req, res) => { res.json({ status: 'healthy', agent: character.name, uptime: process.uptime() }); });

// Graceful shutdown process.on('SIGTERM', async () => { await runtime.stop(); process.exit(0); });

2. Docker Deployment

Dockerfile

FROM node:20-alpine

WORKDIR /app

COPY package*.json ./ RUN npm ci --only=production

COPY . . RUN npm run build

EXPOSE 3000

CMD ["npm", "start"]

docker-compose.yml

version: '3.8'

services: agent: build: . ports: - "3000:3000" environment: - DATABASE_URL=postgresql://user:pass@db:5432/eliza - OPENAI_API_KEY=${OPENAI_API_KEY} depends_on: - db - redis restart: unless-stopped

db: image: postgres:15 volumes: - pgdata:/var/lib/postgresql/data environment: - POSTGRES_DB=eliza - POSTGRES_USER=user - POSTGRES_PASSWORD=pass

redis: image: redis:7-alpine volumes: - redisdata:/data

volumes: pgdata: redisdata:

3. Multi-Agent Deployment

// agents/coordinator.ts const agents = [ { character: agent1, id: 'agent-1' }, { character: agent2, id: 'agent-2' }, { character: agent3, id: 'agent-3' } ];

const runtimes = await Promise.all( agents.map(async ({ character, id }) => { const runtime = new AgentRuntime({ databaseAdapter: new PGAdapter(DATABASE_URL), character, env: process.env }); await runtime.initialize(); return { id, runtime }; }) );

// Load balancing function selectAgent(message: string): AgentRuntime { const hash = hashCode(message); const index = hash % runtimes.length; return runtimes[index].runtime; }

Monitoring

// Metrics collection import { collectDefaultMetrics, register, Counter, Histogram } from 'prom-client';

collectDefaultMetrics();

const messageCounter = new Counter({ name: 'agent_messages_total', help: 'Total messages processed', labelNames: ['agent', 'status'] });

const responseTime = new Histogram({ name: 'agent_response_duration_seconds', help: 'Response time', buckets: [0.1, 0.5, 1, 2, 5] });

// Metrics endpoint app.get('/metrics', async (req, res) => { res.set('Content-Type', register.contentType); res.end(await register.metrics()); });

Production Checklist

• Environment variables configured

• Database migrations run

• Health check endpoint working

• Monitoring configured

• Logging setup

• Error tracking (Sentry)

• Rate limiting enabled

• HTTPS configured

• Secrets secured

• Backup strategy

• Scaling plan

• Rollback procedure