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Build AI agents that can take real-world actions by integrating with external services like Slack, JIRA, GitHub, and deployment systems through Hyrex task orchestration.

Overview

This example demonstrates how to create actionable AI agents:
  • Multi-service integration - Slack notifications, JIRA tickets, deployments
  • Action routing - Dispatch different actions based on agent requests
  • Bulk operations - Process multiple agent actions efficiently
  • Security & validation - Ensure agents can only perform authorized actions
  • Audit logging - Track all agent-initiated actions
Perfect for building AI assistants, automated workflows, or agent-driven DevOps systems.

Task Definitions

REST API Endpoints

Usage Examples

Single Agent Action

Bulk Actions

Advanced Agent Patterns

Conditional Actions

Action Chains

Permission-Based Actions

Security & Compliance

Environment Variables

Action Validation

Production Considerations

  • Rate limiting: Prevent agents from overwhelming external services
  • Permission management: Implement role-based access control for agents
  • Audit logging: Track all agent actions for compliance and debugging
  • Error handling: Graceful failure handling with proper notifications
  • Service limits: Respect external API rate limits and quotas
  • Security: Secure storage of API keys and authentication tokens

Next Steps

Error Handling

Handle failures in agent actions

Context Engineering

Build context for smarter agents