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Constraint Handling

Master constraint handling to build safe, compliant agents that operate within defined limits

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Key Takeaways

You've mastered constraint handling—the foundation of safe, reliable AI agents. Review these essential concepts to solidify your understanding. Check off each item as you internalize it.

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Foundation

Validation

Trade-offs

Implementation

Best Practices

Quick Reference

🔴Hard Constraints

  • • Must be satisfied—no exceptions
  • • Safety, legal, budget limits
  • • Violation = immediate block

🟡Soft Constraints

  • • Preferences—flexible targets
  • • Quality, speed, efficiency
  • • Violation = warning + continue

✅Validation Timing

  • • Pre: Before action (safest)
  • • Runtime: During execution
  • • Post: After completion

⚖️Trade-off Strategies

  • • Priority weighting
  • • Pareto optimization
  • • Human-in-the-loop
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