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Plan-and-Execute Framework

Replanning Strategies

Master adaptive replanning strategies to build robust agents that recover gracefully from failures

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Why Replanning Matters

Even the best plans fail. APIs go down, data goes missing, constraints change, or assumptions prove wrong. Adaptive agents detect failures and create new plans on the fly, recovering gracefully instead of crashing completely.

Replanning is the difference between brittle systems and robust AI agents. Without it, your agent stops at the first obstacle. With it, your agent finds alternative paths to success.

Interactive: Failure Scenarios

Explore common failure scenarios and see how replanning saves the day

🚨

API Service Down

📋 Initial Plan
1. Fetch user data from API
2. Process payment
3. Send confirmation email
4. Update database
❌ Failure Detected

API service is down. Cannot fetch user data.

When Plans Break

🚨

Common Failure Types

What goes wrong?

  • • External: API downtime, network errors
  • • Data: Missing/corrupt information
  • • Resource: Budget/time exceeded
  • • Logic: Invalid assumptions
🔄

Recovery Approaches

How to recover?

  • • Retry: Transient errors (wait & retry)
  • • Fallback: Use backup resources
  • • Replan: Generate new approach
  • • Degrade: Reduce scope gracefully

The Critical Question

"Should I replan or just retry?"

This decision determines whether your agent recovers gracefully or wastes resources

✅ When to Just Retry

  • • Transient errors: Network hiccups, temporary unavailability
  • • Quick failures: Errors that resolve in seconds
  • • Low cost: Retrying doesn't waste significant resources
  • • High success rate: 80%+ chance retry succeeds

🔄 When to Replan

  • • Persistent failures: 3+ retries failed
  • • Structural issues: Core assumption broken
  • • Resource unavailable: Service down indefinitely
  • • Better alternatives: Different approach exists