Event-Driven Workflow

Webhook Handler

Process incoming webhooks from external services:

ensemble: webhook-handler
description: Validate and process incoming webhooks

agents:
  # Validate webhook signature
  - name: validate-signature
    operation: code
    config:
      script: scripts/validate-webhook-signature
    input:
      signature: ${input.headers['x-webhook-signature']}
      body: ${input.body}
      secret: ${env.WEBHOOK_SECRET}

  # Validate payload schema
  - name: validate-schema
    condition: ${validate-signature.output.valid}
    operation: validate
    input:
      data: ${input.body}
      schema: ${[email protected]}

  # Process event based on type
  - name: route-event
    condition: ${validate-schema.output.valid}
    operation: code
    config:
      script: scripts/route-webhook-event
    input:
      eventType: ${input.body.type}

  # Handle different event types
  - name: handle-order-created
    condition: ${route-event.output.eventType === 'order.created'}
    operation: storage
    config:
      type: queue
      action: send
      queue: TASK_QUEUE
      body:
        ensemble: process-order
        input: ${input.body.data}

  - name: handle-payment-success
    condition: ${route-event.output.eventType === 'payment.succeeded'}
    operation: storage
    config:
      type: queue
      action: send
      queue: TASK_QUEUE
      body:
        ensemble: fulfill-order
        input: ${input.body.data}

  - name: handle-user-signup
    condition: ${route-event.output.eventType === 'user.created'}
    operation: storage
    config:
      type: queue
      action: send
      queue: TASK_QUEUE
      body:
        ensemble: onboard-user
        input: ${input.body.data}

  # Log webhook receipt
  - name: log-webhook
    operation: data
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        INSERT INTO webhook_logs (
          event_type, valid, processed, timestamp
        ) VALUES (?, ?, ?, ?)
      params:
        - ${route-event.output.eventType}
        - ${validate-schema.output.valid}
        - ${route-event.output.shouldProcess}
        - ${Date.now()}

output:
  success: ${validate-signature.output.valid && validate-schema.output.valid}
  eventType: ${route-event.output.eventType}
  processed: ${route-event.output.shouldProcess}

// scripts/validate-webhook-signature.ts
import type { AgentExecutionContext } from '@ensemble-edge/conductor'
import * as crypto from 'crypto'

export default function validateWebhookSignature(context: AgentExecutionContext) {
  const { signature, body, secret } = context.input
  const payload = JSON.stringify(body)
  const expected = crypto
    .createHmac('sha256', secret)
    .update(payload)
    .digest('hex')
  return { valid: signature === expected }
}

// scripts/route-webhook-event.ts
import type { AgentExecutionContext } from '@ensemble-edge/conductor'

export default function routeWebhookEvent(context: AgentExecutionContext) {
  const { eventType } = context.input
  return { eventType, shouldProcess: true }
}

Scheduled Jobs

Execute ensembles on a schedule using cron triggers:

Daily Report Generation

name: daily-report
description: Generate and send daily report

trigger:
  - type: cron
    cron: "0 8 * * *"  # Daily at 8 AM UTC
    timezone: "America/New_York"
    enabled: true

flow:
  - agent: get-metrics
  - agent: generate-report
  - agent: send-email

agents:
  # Query yesterday's metrics
  - name: get-metrics
    operation: data
    config:
      backend: d1
      binding: DB
      operation: query
      sql: |
        SELECT
          COUNT(*) as orders,
          SUM(total) as revenue,
          AVG(total) as avg_order_value
        FROM orders
        WHERE created_at >= strftime('%s', 'now', '-1 day') * 1000

  # Generate report with AI
  - name: generate-report
    operation: think
    config:
      provider: anthropic
      model: claude-sonnet-4
      prompt: |
        Generate a professional daily business report based on these metrics:

        Orders: ${get-metrics.output[0].orders}
        Revenue: $${get-metrics.output[0].revenue}
        Average Order Value: $${get-metrics.output[0].avg_order_value}

        Include trends, insights, and recommendations.

  # Send to team
  - name: send-email
    operation: email
    config:
      to: [[email protected], [email protected]]
      subject: "Daily Report - ${new Date().toDateString()}"
      html: |
        <h1>Daily Business Report</h1>
        ${generate-report.output}

outputs:
  sent: ${send-email.success}
  metrics: ${get-metrics.output[0]}

Multiple Schedules

Run different tasks on different schedules:

name: maintenance-tasks

trigger:
  # Every 4 hours - check inventory
  - type: cron
    cron: "0 */4 * * *"
    timezone: "UTC"
    input:
      task: "inventory-check"

  # Weekly on Sunday - generate summary
  - type: cron
    cron: "0 0 * * 0"
    timezone: "America/New_York"
    input:
      task: "weekly-summary"

flow:
  - agent: route-task

agents:
  - name: route-task
    operation: code
    config:
      script: scripts/route-maintenance-task
    input:
      task: ${input.task}

outputs:
  completed: ${route-task.output.action}

// scripts/route-maintenance-task.ts
import type { AgentExecutionContext } from '@ensemble-edge/conductor'

export default function routeMaintenanceTask(context: AgentExecutionContext) {
  const { task } = context.input

  if (task === 'inventory-check') {
    // Check inventory levels
    return { action: 'check_inventory' }
  } else if (task === 'weekly-summary') {
    // Generate weekly summary
    return { action: 'generate_summary' }
  }
  return { action: 'unknown' }
}

Configure in wrangler.toml:

[triggers]
crons = [
  "0 8 * * *",    # Daily at 8 AM
  "0 */4 * * *",  # Every 4 hours
  "0 0 * * 0"     # Weekly on Sunday
]

Note: Conductor automatically discovers cron triggers from ensemble configurations. The wrangler.toml crons must match your ensemble trigger configurations.

Database Triggers

React to database changes:

ensemble: on-user-signup
description: Triggered when a new user signs up

agents:
  # Send welcome email
  - name: send-welcome-email
    operation: email
    config:
      to: ${input.user.email}
      subject: "Welcome to Our Platform!"
      template: welcome-email
      data:
        name: ${input.user.name}
        verificationLink: https://app.example.com/verify/${input.user.id}

  # Create user profile
  - name: create-profile
    operation: data
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        INSERT INTO profiles (
          user_id, onboarding_status, created_at
        ) VALUES (?, 'pending', ?)
      params:
        - ${input.user.id}
        - ${Date.now()}

  # Add to email marketing list
  - name: add-to-marketing
    operation: http
    config:
      url: https://api.mailchimp.com/3.0/lists/${env.MAILCHIMP_LIST_ID}/members
      method: POST
      headers:
        Authorization: Bearer ${env.MAILCHIMP_API_KEY}
      body:
        email_address: ${input.user.email}
        status: subscribed
        merge_fields:
          FNAME: ${input.user.name}

  # Track signup event
  - name: track-signup
    operation: http
    config:
      url: https://api.segment.com/v1/track
      method: POST
      headers:
        Authorization: Basic ${env.SEGMENT_WRITE_KEY}
      body:
        userId: ${input.user.id}
        event: User Signed Up
        properties:
          source: ${input.source}
          timestamp: ${Date.now()}

output:
  emailSent: ${send-welcome-email.success}
  profileCreated: ${create-profile.success}

Trigger from signup handler:

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    if (request.method === 'POST' && new URL(request.url).pathname === '/signup') {
      const { email, name } = await request.json();

      // Create user in database
      const user = await createUser(env, { email, name });

      // Trigger on-user-signup ensemble
      const conductor = new Conductor({ env });
      await conductor.execute('on-user-signup', {
        user,
        source: 'web'
      });

      return Response.json({ success: true, userId: user.id });
    }
  }
};

E-Commerce Order Processing

Complete event-driven order workflow with error handling:

ensemble: process-order
description: Complete order processing with validation, payment, and fulfillment

state:
  schema:
    order: object
    inventoryReserved: boolean
    paymentProcessed: boolean
    fulfillmentCreated: boolean

agents:
  # Validate order
  - name: validate-order
    operation: code
    config:
      script: scripts/validate-order
    input:
      items: ${input.items}
      customerId: ${input.customerId}
      shippingAddress: ${input.shippingAddress}
    state:
      set: [order]

  # Check inventory availability in parallel
  - parallel:
      - name: check-inventory
        operation: data
        loop:
          items: ${input.items}
        config:
          backend: d1
          binding: DB
          operation: query
          sql: |
            SELECT quantity FROM inventory
            WHERE product_id = ? AND quantity >= ?
          params:
            - ${loop.item.productId}
            - ${loop.item.quantity}

  # Reserve inventory
  - name: reserve-inventory
    condition: ${check-inventory.outputs.every(r => r.length > 0)}
    operation: data
    loop:
      items: ${input.items}
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        UPDATE inventory
        SET quantity = quantity - ?,
            reserved = reserved + ?
        WHERE product_id = ?
      params:
        - ${loop.item.quantity}
        - ${loop.item.quantity}
        - ${loop.item.productId}
    state:
      set: [inventoryReserved]

  # Process payment
  - name: process-payment
    condition: ${state.inventoryReserved}
    operation: http
    config:
      url: https://api.stripe.com/v1/payment_intents
      method: POST
      headers:
        Authorization: Bearer ${env.STRIPE_SECRET_KEY}
      body:
        amount: ${input.total}
        currency: usd
        customer: ${input.customerId}
        payment_method: ${input.paymentMethodId}
        confirm: true
    state:
      set: [paymentProcessed]

  # Handle payment failure - release inventory
  - name: release-inventory-on-failure
    condition: ${!process-payment.success && state.inventoryReserved}
    operation: data
    loop:
      items: ${input.items}
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        UPDATE inventory
        SET quantity = quantity + ?,
            reserved = reserved - ?
        WHERE product_id = ?
      params:
        - ${loop.item.quantity}
        - ${loop.item.quantity}
        - ${loop.item.productId}

  # Create order record
  - name: create-order
    condition: ${state.paymentProcessed}
    operation: data
    config:
      backend: d1
      binding: DB
      operation: query
      sql: |
        INSERT INTO orders (
          customer_id, total, status, payment_intent_id, created_at
        ) VALUES (?, ?, 'processing', ?, ?)
        RETURNING id
      params:
        - ${input.customerId}
        - ${input.total}
        - ${process-payment.output.id}
        - ${Date.now()}

  # Create order items
  - name: create-order-items
    condition: ${create-order.success}
    operation: data
    loop:
      items: ${input.items}
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        INSERT INTO order_items (
          order_id, product_id, quantity, price
        ) VALUES (?, ?, ?, ?)
      params:
        - ${create-order.output[0].id}
        - ${loop.item.productId}
        - ${loop.item.quantity}
        - ${loop.item.price}

  # Finalize inventory - remove from reserved
  - name: finalize-inventory
    condition: ${create-order.success}
    operation: data
    loop:
      items: ${input.items}
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        UPDATE inventory
        SET reserved = reserved - ?
        WHERE product_id = ?
      params:
        - ${loop.item.quantity}
        - ${loop.item.productId}

  # Create fulfillment request
  - name: create-fulfillment
    condition: ${create-order.success}
    operation: http
    config:
      url: ${env.FULFILLMENT_API}/orders
      method: POST
      headers:
        Authorization: Bearer ${env.FULFILLMENT_KEY}
      body:
        orderId: ${create-order.output[0].id}
        items: ${input.items}
        shippingAddress: ${input.shippingAddress}
        priority: standard
    state:
      set: [fulfillmentCreated]

  # Send notifications in parallel
  - parallel:
      - name: send-confirmation-email
        condition: ${create-order.success}
        operation: email
        config:
          to: ${input.customerEmail}
          subject: Order Confirmation ${create-order.output[0].id}
          template: order-confirmation
          data:
            orderNumber: ${create-order.output[0].id}
            items: ${input.items}
            total: ${input.total}

      - name: send-sms
        condition: ${create-order.success}
        operation: sms
        config:
          to: ${input.customerPhone}
          message: Your order ${create-order.output[0].id} is confirmed!

      - name: track-analytics
        condition: ${create-order.success}
        operation: http
        config:
          url: ${env.ANALYTICS_URL}/events
          method: POST
          body:
            event: order_placed
            userId: ${input.customerId}
            properties:
              orderId: ${create-order.output[0].id}
              total: ${input.total}
              itemCount: ${input.items.length}

output:
  success: ${create-order.success}
  orderId: ${create-order.output[0]?.id}
  paymentIntentId: ${process-payment.output?.id}
  fulfillmentId: ${create-fulfillment.output?.id}
  error: ${!create-order.success ? 'Order processing failed' : null}

Inventory Monitoring

Scheduled check for low stock with alerts:

ensemble: check-inventory
description: Monitor inventory and alert on low stock

agents:
  # Check low stock items
  - name: check-low-stock
    operation: data
    config:
      backend: d1
      binding: DB
      operation: query
      sql: |
        SELECT product_id, product_name, quantity, reorder_level
        FROM inventory
        WHERE quantity <= reorder_level

  # Only continue if there are low stock items
  - name: has-low-stock
    condition: ${check-low-stock.output.length > 0}
    operation: code
    config:
      script: scripts/return-item-count
    input:
      count: ${check-low-stock.output.length}

  # Get product details
  - name: enrich-products
    condition: ${has-low-stock.executed}
    operation: data
    loop:
      items: ${check-low-stock.output}
    config:
      backend: d1
      binding: DB
      operation: query
      sql: |
        SELECT * FROM products WHERE id = ?
      params: [${loop.item.product_id}]

  # Send Slack alert
  - name: alert-slack
    condition: ${has-low-stock.executed}
    operation: http
    config:
      url: ${env.SLACK_WEBHOOK}
      method: POST
      body:
        text:  Low Stock Alert
        blocks:
          - type: section
            text:
              type: mrkdwn
              text: |
                *Low Stock Items (${has-low-stock.output.count})*
                ${check-low-stock.output.map(item =>
                  ` ${item.product_name}: ${item.quantity} units (reorder at ${item.reorder_level})`
                ).join('\n')}

  # Send email to purchasing team
  - name: alert-email
    condition: ${has-low-stock.executed}
    operation: email
    config:
      to: [[email protected]]
      subject: Low Stock Alert - ${has-low-stock.output.count} Items
      html: |
        <h2>Low Stock Alert</h2>
        <table>
          <tr><th>Product</th><th>Current</th><th>Reorder Level</th></tr>
          ${check-low-stock.output.map(item => `
            <tr>
              <td>${item.product_name}</td>
              <td>${item.quantity}</td>
              <td>${item.reorder_level}</td>
            </tr>
          `).join('')}
        </table>

output:
  lowStockItems: ${check-low-stock.output}
  alertsSent: ${alert-slack.success && alert-email.success}

Order Cancellation Workflow

Handle order cancellations with refunds and inventory restoration:

ensemble: cancel-order
description: Cancel order with refund and inventory restoration

agents:
  # Get order details
  - name: get-order
    operation: data
    config:
      backend: d1
      binding: DB
      operation: query
      sql: |
        SELECT * FROM orders
        WHERE id = ? AND status != 'cancelled'
      params: [${input.orderId}]

  # Check if cancellable
  - name: check-cancellable
    condition: ${get-order.output.length > 0}
    operation: code
    config:
      script: scripts/check-order-cancellable
    input:
      orderStatus: ${get-order.output[0].status}

  # Refund payment
  - name: refund-payment
    condition: ${check-cancellable.output.canCancel}
    operation: http
    config:
      url: https://api.stripe.com/v1/refunds
      method: POST
      headers:
        Authorization: Bearer ${env.STRIPE_SECRET_KEY}
      body:
        payment_intent: ${get-order.output[0].payment_intent_id}

  # Get order items
  - name: get-order-items
    condition: ${refund-payment.success}
    operation: data
    config:
      backend: d1
      binding: DB
      operation: query
      sql: |
        SELECT product_id, quantity FROM order_items
        WHERE order_id = ?
      params: [${input.orderId}]

  # Restore inventory
  - name: restore-inventory
    condition: ${get-order-items.success}
    operation: data
    loop:
      items: ${get-order-items.output}
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        UPDATE inventory
        SET quantity = quantity + ?
        WHERE product_id = ?
      params:
        - ${loop.item.quantity}
        - ${loop.item.product_id}

  # Update order status
  - name: update-order-status
    condition: ${refund-payment.success}
    operation: data
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        UPDATE orders
        SET status = 'cancelled', updated_at = ?
        WHERE id = ?
      params:
        - ${Date.now()}
        - ${input.orderId}

  # Notify customer
  - name: send-cancellation-email
    condition: ${update-order-status.success}
    operation: email
    config:
      to: ${get-order.output[0].customer_email}
      subject: Order Cancellation Confirmed
      template: order-cancelled
      data:
        orderNumber: ${input.orderId}
        refundAmount: ${get-order.output[0].total}

output:
  success: ${update-order-status.success}
  refunded: ${refund-payment.success}
  inventoryRestored: ${restore-inventory.outputs?.every(r => r.success)}

// scripts/validate-order.ts
import type { AgentExecutionContext } from '@ensemble-edge/conductor'

export default function validateOrder(context: AgentExecutionContext) {
  const { items, customerId, shippingAddress } = context.input
  const isValid = items.length > 0 &&
                 customerId &&
                 shippingAddress.zip &&
                 shippingAddress.country
  return { valid: isValid }
}

// scripts/return-item-count.ts
import type { AgentExecutionContext } from '@ensemble-edge/conductor'

export default function returnItemCount(context: AgentExecutionContext) {
  const { count } = context.input
  return { count }
}

// scripts/check-order-cancellable.ts
import type { AgentExecutionContext } from '@ensemble-edge/conductor'

export default function checkOrderCancellable(context: AgentExecutionContext) {
  const { orderStatus } = context.input
  const canCancel = ['pending', 'processing'].includes(orderStatus)
  return { canCancel, reason: canCancel ? null : 'Order already shipped' }
}

// scripts/acknowledge-webhook.ts
import type { AgentExecutionContext } from '@ensemble-edge/conductor'

export default function acknowledgeWebhook(context: AgentExecutionContext) {
  return { received: true }
}

Real-Time User Activity Tracking

Track user actions and trigger personalized responses:

ensemble: track-user-activity
description: Track user actions and respond in real-time

agents:
  # Log activity
  - name: log-activity
    operation: data
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        INSERT INTO user_activities (
          user_id, action, metadata, timestamp
        ) VALUES (?, ?, ?, ?)
      params:
        - ${input.userId}
        - ${input.action}
        - ${JSON.stringify(input.metadata)}
        - ${Date.now()}

  # Check for patterns
  - name: check-patterns
    operation: data
    config:
      backend: d1
      binding: DB
      operation: query
      sql: |
        SELECT COUNT(*) as count, action
        FROM user_activities
        WHERE user_id = ? AND timestamp > ?
        GROUP BY action
      params:
        - ${input.userId}
        - ${Date.now() - 24 * 60 * 60 * 1000} # Last 24 hours

  # Trigger based on patterns
  - name: abandoned-cart-reminder
    condition: ${input.action === 'cart_add' && check-patterns.output.some(p => p.action === 'cart_add' && p.count >= 3)}
    operation: storage
    config:
      type: queue
      action: send
      queue: TASK_QUEUE
      body:
        ensemble: send-cart-reminder
        input:
          userId: ${input.userId}
        delay: 3600000 # 1 hour delay

  - name: engagement-reward
    condition: ${input.action === 'product_view' && check-patterns.output.some(p => p.action === 'product_view' && p.count >= 10)}
    operation: storage
    config:
      type: queue
      action: send
      queue: TASK_QUEUE
      body:
        ensemble: send-engagement-reward
        input:
          userId: ${input.userId}

output:
  logged: ${log-activity.success}
  patterns: ${check-patterns.output}

Queue-Based Processing

Process tasks asynchronously using Cloudflare Queues:

// src/index.ts - Queue consumer
export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    const conductor = new Conductor({ env });

    for (const message of batch.messages) {
      const { ensemble, input, delay } = message.body;

      try {
        // Execute the specified ensemble
        const result = await conductor.execute(ensemble, input);

        if (result.success) {
          message.ack();
        } else {
          message.retry();
        }
      } catch (error) {
        console.error(`Queue processing error:`, error);
        message.retry();
      }
    }
  }
};

Best Practices

1. Use Queues for Async Work

# Don't block webhook responses
agents:
  - name: acknowledge-webhook
    operation: code
    config:
      script: scripts/acknowledge-webhook

  # Queue heavy processing
  - name: queue-processing
    operation: storage
    config:
      type: queue
      action: send
      body:
        ensemble: process-webhook-data
        input: ${input.webhook}

2. Implement Idempotency

agents:
  # Check if already processed
  - name: check-processed
    operation: data
    config:
      backend: d1
      binding: DB
      operation: query
      sql: |
        SELECT COUNT(*) as count FROM processed_events
        WHERE event_id = ?
      params: [${input.eventId}]

  # Only process if not seen before
  - name: process-event
    condition: ${check-processed.output[0].count === 0}
    operation: code
    config:
      code: # Process event

  # Mark as processed
  - name: mark-processed
    condition: ${process-event.success}
    operation: data
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        INSERT INTO processed_events (event_id, timestamp)
        VALUES (?, ?)
      params:
        - ${input.eventId}
        - ${Date.now()}

3. Add Retry Logic

agents:
  - name: external-api-call
    operation: http
    config:
      url: https://api.example.com/endpoint
    retry:
      max_attempts: 3
      backoff: exponential
      max_delay: 30000

4. Monitor Event Processing

// Log all events
agents:
  - name: log-event
    operation: data
    config:
      backend: d1
      binding: DB
      operation: execute
      sql: |
        INSERT INTO event_logs (
          event_type, source, status, latency, timestamp
        ) VALUES (?, ?, ?, ?, ?)

Next Steps

API Orchestration

Webhook and API patterns

Triggers

Cron and delayed execution

Queues Configuration

Set up Cloudflare Queues

Flow Control

Robust error handling

Conductor

Getting Started

Core Concepts

Building

Components

Operations Reference

Plugins

Starter Kit

Playbooks

Reference

Webhook Handler

Scheduled Jobs

Daily Report Generation

Multiple Schedules

Database Triggers

E-Commerce Order Processing

Inventory Monitoring

Order Cancellation Workflow

Real-Time User Activity Tracking

Queue-Based Processing

Best Practices

1. Use Queues for Async Work

2. Implement Idempotency

3. Add Retry Logic

4. Monitor Event Processing

Next Steps

API Orchestration

Triggers

Queues Configuration

Flow Control

Conductor

Getting Started

Core Concepts

Building

Components

Operations Reference

Plugins

Starter Kit

Playbooks

Reference

​Webhook Handler

​Scheduled Jobs

​Daily Report Generation

​Multiple Schedules

​Database Triggers

​On User Signup

​E-Commerce Order Processing

​Inventory Monitoring

​Order Cancellation Workflow

​Real-Time User Activity Tracking

​Queue-Based Processing

​Best Practices

​1. Use Queues for Async Work

​2. Implement Idempotency

​3. Add Retry Logic

​4. Monitor Event Processing

​Next Steps

API Orchestration

Triggers

Queues Configuration

Flow Control

Webhook Handler

Scheduled Jobs

Daily Report Generation

Multiple Schedules

Database Triggers

On User Signup

E-Commerce Order Processing

Inventory Monitoring

Order Cancellation Workflow

Real-Time User Activity Tracking

Queue-Based Processing

Best Practices

1. Use Queues for Async Work

2. Implement Idempotency

3. Add Retry Logic

4. Monitor Event Processing

Next Steps