Tutorial 2: First Workflow - Coming Soon

🚧 Coming Soon

This tutorial is currently being developed and will be available soon!

What you’ll learn:

• Creating your first HAP workflow with multiple agents

• Sequential agent coordination and data flow

• State management between workflow steps

• Error handling and recovery patterns

• Testing and debugging workflows

Expected completion: Next release

In the meantime, check out:

• Getting Started - Quick start guide with working examples

• User Guide - Comprehensive workflow patterns

• Examples - Ready-to-run workflow examples

What This Tutorial Will Cover:

1. 🏗️ Building Your First Workflow

   • Setting up a basic 3-agent pipeline

   • Connecting research → analysis → reporting agents

   • Configuring agent dependencies and data flow

2. 📊 Data Flow Patterns

   • Context passing between agents

   • State management and persistence

   • Input/output transformations

3. 🔧 Hands-On Implementation

   • Step-by-step workflow construction

   • Real agent execution with LLMs

   • Testing and validation techniques

4. 💡 Best Practices

   • Workflow design patterns

   • Performance optimization tips

   • Production deployment considerations

Prerequisites: - Completed Understanding HAP - Basic Python async/await knowledge - Access to LLM API (OpenAI, Anthropic, etc.)

Estimated Time: 30-45 minutes

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📚 Alternative Resources:

While waiting for this tutorial, explore these resources:

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