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Planning Simulator

Master AI agent planning through interactive simulations and real-world scenarios

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Simulating Plan Execution

Plans look great on paper until they meet reality. Simulation lets you test plans in a safe environment before deploying them. You can identify bottlenecks, test failure modes, and measure performance without risking real resources or time.

The Execution Cycle

1️⃣Select Task

Choose next task from ready queue

2️⃣Execute

Run task, consume resources

3️⃣Verify

Check success, handle errors

4️⃣Continue

Update state, move to next

Interactive: Run Plan Execution

Watch the plan execute step-by-step. Each task has a small chance of failure!

1
Initialize agent
Duration: 500ms | Fail chance: 5%
Pending
2
Search flight options
Duration: 1500ms | Fail chance: 10%
Pending
3
Compare prices
Duration: 800ms | Fail chance: 5%
Pending
4
Book selected flight
Duration: 1200ms | Fail chance: 15%
Pending
5
Send confirmation
Duration: 600ms | Fail chance: 8%
Pending

Execution Monitoring

Real execution requires comprehensive monitoring. Track every task's status, resource usage, and output. Log everything for debugging and optimization.

📊

Metrics to Track

  • • Task completion time
  • • Resource consumption
  • • Success/failure rates
  • • Queue wait times
  • • Error types and frequency
🚨

Alert Conditions

  • • Task timeout exceeded
  • • Budget limit reached
  • • Repeated task failures
  • • Unexpected state changes
  • • Resource exhaustion
📝

Logging Best Practices

  • • Log task start/end
  • • Include timestamps
  • • Capture input/output
  • • Record decisions made
  • • Track state transitions

Handling Execution Failures

🔄Retry Strategies

Simple Retry
Try same task again immediately
for i in range(3): try_task()
Exponential Backoff
Wait longer between each retry
wait = 2^retry_count seconds
Circuit Breaker
Stop retrying if repeated failures
if failures > threshold: stop()

🛡️Recovery Actions

Rollback
Undo changes, return to last known good state
Fallback Plan
Switch to alternative approach (Plan B)
Partial Success
Accept incomplete results rather than total failure
Human Escalation
Alert operator for manual intervention
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