Tutorial 4: Context Management - Coming Soon

🚧 Coming Soon

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

What you’ll learn:

  • Advanced context and state management in workflows

  • Persistent state across workflow executions

  • Context sharing between agents

  • Memory management and optimization

  • State debugging and monitoring techniques

Expected completion: Next release

In the meantime, check out:

What This Tutorial Will Cover:

  1. 🗂️ Advanced Context Patterns

    • HAPContext deep dive and customization

    • State inheritance and scoping

    • Context projection and filtering

  2. 💾 Persistent State Management

    • Checkpointing and resume functionality

    • State serialization and storage

    • Cross-session context preservation

  3. 🤝 Inter-Agent Communication

    • Shared context patterns

    • Message passing between agents

    • Context isolation and security

  4. 📊 Performance & Monitoring

    • Memory optimization techniques

    • State debugging and inspection

    • Performance profiling and metrics

Prerequisites: - Completed previous tutorials (1-3) - Understanding of Python state management - Experience with complex workflows

Estimated Time: 45-60 minutes

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📚 Alternative Resources:

While waiting for this tutorial, explore these resources:

Preview - Context Patterns You’ll Learn:

# Advanced Context Management (Coming Soon)
class CustomHAPContext(HAPContext):
    """Custom context with domain-specific fields."""

    # Domain-specific state
    research_findings: Dict[str, Any] = Field(default_factory=dict)
    analysis_cache: Dict[str, Any] = Field(default_factory=dict)
    user_preferences: Dict[str, Any] = Field(default_factory=dict)

    def get_agent_view(self, agent_name: str) -> Dict[str, Any]:
        """Get agent-specific context view."""
        # Custom context filtering logic
        pass

# Persistent Context Pattern (Coming Soon)
context = CustomHAPContext()
context.enable_persistence("workflow_checkpoints/")

# Context sharing between agents
shared_context = context.create_shared_view(["research_findings", "user_preferences"])

Stay Updated:

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