Tutorial 5: Error Handling - Coming Soon

🚧 Coming Soon

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

What you’ll learn:

  • Robust error handling in multi-agent workflows

  • Retry patterns and fallback strategies

  • Graceful degradation techniques

  • Error recovery and workflow resilience

  • Monitoring and alerting for production workflows

Expected completion: Next release

In the meantime, check out:

What This Tutorial Will Cover:

  1. 🛡️ Error Detection & Classification

    • Agent failure detection

    • Error type classification

    • Error propagation patterns

  2. 🔄 Recovery Strategies

    • Retry mechanisms and backoff strategies

    • Fallback agents and alternative paths

    • Partial result handling

  3. 🏗️ Resilient Workflow Design

    • Circuit breaker patterns

    • Bulkhead isolation techniques

    • Graceful degradation strategies

  4. 📊 Monitoring & Alerting

    • Error metrics and logging

    • Real-time monitoring dashboards

    • Production alerting strategies

Prerequisites: - Completed previous tutorials (1-4) - Understanding of error handling concepts - Experience with production systems (helpful)

Estimated Time: 45-60 minutes

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📚 Alternative Resources:

While waiting for this tutorial, explore these resources:

Preview - Error Handling Patterns You’ll Learn:

# Retry with Exponential Backoff (Coming Soon)
@retry_with_backoff(max_attempts=3, base_delay=1.0, max_delay=60.0)
async def resilient_agent_execution(agent, context):
    """Execute agent with automatic retry on transient failures."""
    try:
        return await agent.arun(context)
    except TransientError as e:
        # Log and re-raise for retry
        logger.warning(f"Transient error in {agent.name}: {e}")
        raise
    except PermanentError as e:
        # Don't retry permanent errors
        logger.error(f"Permanent error in {agent.name}: {e}")
        raise NoRetryError from e

# Fallback Workflow Pattern (Coming Soon)
workflow = HAPGraph()
workflow.add_agent_node("primary", primary_agent,
                       next_nodes=["validator"],
                       fallback_nodes=["backup"])
workflow.add_agent_node("backup", backup_agent,
                       next_nodes=["validator"])
workflow.add_agent_node("validator", validator)

# Circuit Breaker Pattern (Coming Soon)
circuit_breaker = CircuitBreaker(
    failure_threshold=5,
    recovery_timeout=30.0,
    expected_exception=AgentTimeoutError
)

@circuit_breaker
async def protected_agent_call(agent, context):
    """Agent call protected by circuit breaker."""
    return await agent.arun(context)

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